Quick overview

As an overview, mmspy utilizes zarr as the data format to convert from CDF files and store on disk. In memory, the data are openned and wrapped, in order, with dask.array.Array for automatic chunking and lazily evaluated parallel operations, pint.Quantity for unit handling and conversion, and xarray.DataArray for dimensions and coordinates labeling, with all metadata preserved from CDF files.

In the following, we show how MMS datasets are loaded with mmspy and the basics of each of the above features. Users are encouraged to familiarize at least with xarray’s basic data structures. While knowledge of pint and dask internals are good to know, there is generally no need to dig too deep into it, since all the main features can be accessed via xarray.

Query parameters and data stores

The two main components of mmspy are mmspy.query and mmspy.store. The former is an interface for setting the query parameters for the LASP SDC web services. The latter is an interface for managing both local (on machine) and remote (on the SDC) storages (aka data ‘stores’). By default, mmspy.store is set to the system’s data path:

import mmspy as mms

mms.store.show()

/ (system path: /home/docs/.local/share/mmspy)
├── local
└── remote

The path can be changed, for example, by setting:

mms.store.path = "./data.zarr/quick-overview"
mms.store.show()

/ (system path: data.zarr/quick-overview)
├── local
└── remote

Tip

Provide a path, e.g., “local/mms1/fgm” to mmspy.store.show() to list a store’s content.

Note

By default, a 'local' store is always initialized under the root directory.

Note

Interactive 'remote' store exploration is a planned feature. We are deciding how best to do this web-scraping on the SDC.

mmspy.store handles the synchronization from the remote store to the 'local' store, wherein CDF files from the remote are converted to zarr storages locally. mmspy.store also manages the reading and writing of MMS datasets from any data store under the root path.

By default, mmspy.query is empty:

mms.query.show()

  * start_time        : NaT
  * stop_time         : NaT
  * probe             : None (Alias: None)
  * instrument        : None (Alias: None)
  * data_rate         : None (Alias: None)
  * data_type         : None (Alias: None)
  * data_level        : None (Alias: None)
  * ancillary_product : None (Alias: None)

It is a good idea to browse the remote store in the SDC (and the documentation for Query) to get an idea of what values for query parameters are allowed. Typically, the CDF files are organized as probe/instrument/data_rate/data_level/data_type/**/*.cdf on the SDC, which will be converted to probe/instrument/data_type/data_rate/data_level/zarr_* locally.

Note

The order of the local path is inverted to put data_type after instrument, because typically data_rate and data_level do not vary much in the same project.

Loading MMS datasets

mmspy provides a high-level mmspy.load() method that handles mmspy.query and mmspy.store under the hood. mmspy.load() takes Query parameters as arguments and returns a (pint quantified) xarray.Dataset.

To get the Fluxgate Magnetometers (FGM) dataset, run:

fgm = mms.load(
    store="remote",
    start_time="2015-10-16T08:00:00",
    stop_time="2015-10-16T14:00:00",
    probe="mms1",
    instrument="fgm",
    data_rate="srvy",
    data_level="l2",
)

26-Mar-20 03:50:52 [INFO] Query is set from 2015-10-16 08:00:00 to 2015-10-16 14:00:00.

26-Mar-20 03:50:56 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fgm/bfield/srvy/l2/zarr_2015_10_16_00_00_00.

26-Mar-20 03:50:56 [INFO] Synchronized remote file mms1_fgm_srvy_l2_20151016_v4.18.0.cdf to local file zarr_2015_10_16_00_00_00.

26-Mar-20 03:50:58 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fgm/bfield/srvy/l2/zarr_2015_10_17_00_00_00.

26-Mar-20 03:50:58 [INFO] Synchronized remote file mms1_fgm_srvy_l2_20151017_v4.18.0.cdf to local file zarr_2015_10_17_00_00_00.

26-Mar-20 03:50:58 [INFO] Synchronized remote store mms1/fgm/srvy/l2 to local store local/mms1/fgm/bfield/srvy/l2.

mmspy.store should now show the zarr files on the local storage:

mms.store.show("*")

/ (system path: data.zarr/quick-overview)
├── local
│   └── mms1
│       └── fgm
│           └── bfield
│               └── srvy
│                   └── l2
│                       ├── zarr_2015_10_16_00_00_00
│                       └── zarr_2015_10_17_00_00_00
└── remote

Unpacking Xarray components

Exploring the fgm dataset:

fgm

<xarray.Dataset> Size: 28MB
Dimensions:         (time: 345596, rank_1: 3, ephemeris_time: 720)
Coordinates:
  * time            (time) datetime64[ns] 3MB 2015-10-16T08:00:00.009373144 ....
  * rank_1          (rank_1) <U3 36B 'x' 'y' 'z'
  * ephemeris_time  (ephemeris_time) datetime64[ns] 6kB 2015-10-16T08:00:24.2...
Data variables: (12/13)
    b_bcs           (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    b_dmpa          (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    b_gse           (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    b_gsm           (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    bdeltahalf      (time) float32 1MB [s] dask.array<getitem, shape=(345596,...
    etemp           (time) float32 1MB [°C] dask.array<getitem, shape=(345596...
    ...              ...
    hirange         (time) uint8 346kB [] dask.array<getitem, shape=(345596,)...
    mode            (time) float32 1MB [1/s] dask.array<getitem, shape=(34559...
    r_gse           (ephemeris_time, rank_1) float32 9kB [km] dask.array<geti...
    r_gsm           (ephemeris_time, rank_1) float32 9kB [km] dask.array<geti...
    rdeltahalf      (time) float32 1MB [s] dask.array<getitem, shape=(345596,...
    stemp           (time) float32 1MB [°C] dask.array<getitem, shape=(345596...
Attributes: (12/38)
    Data_type:                   srvy_l2
    Descriptor:                  FGM>Flux Gate Magnetometer
    Discipline:                  Space Physics>Magnetospheric Science
    File_naming_convention:      source_descriptor_datatype_yyyyMMdd
    Generated_by:                UCLA
    Generation_date:             20160225
    ...                          ...
    size:                        66.233524 MB
    species:                     
    start_time:                  2015-10-16T00:00:13.330852139
    stop_time:                   2015-10-17T00:00:14.324999497
    timestamp:                   2015_10_16_00_00_00
    version:                     4.18.0

xarray.Dataset

• Dimensions:
  • time: 345596
  • rank_1: 3
  • ephemeris_time: 720
• Coordinates: (3)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.009373144 .....

    CATDESC :

    Interval centered time tag (TBC)

    DELTA_MINUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['2010-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.009373144', '2015-10-16T08:00:00.071873953',
           '2015-10-16T08:00:00.134374762', ..., '2015-10-16T13:59:59.851527653',
           '2015-10-16T13:59:59.914028462', '2015-10-16T13:59:59.976529271'],
          shape=(345596,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U3
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U3')

  • ephemeris_time
    (ephemeris_time)
    datetime64[ns]
    2015-10-16T08:00:24.248000 ... 2...

    CATDESC :

    Default time

    DELTA_MINUS_VAR :

    mms1_fgm_rdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_rdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:24.248000000', '2015-10-16T08:00:54.248000000',
           '2015-10-16T08:01:24.248000000', ..., '2015-10-16T13:58:54.248000000',
           '2015-10-16T13:59:24.248000000', '2015-10-16T13:59:54.248000000'],
          shape=(720,), dtype='datetime64[ns]')

• Data variables: (13)
  • b_bcs
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Body Coordinate System cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    BCS>Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    standard_name :

    Magnetic field vector in BCS plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • b_dmpa
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Despun MPA-aligned cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DMPA>Despun Major Principal Axis

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    VAR_NOTES :

    During nominal operatins in the region of interest, DMPA is within 3 degrees of GSE.

    standard_name :

    Magnetic field vector in DMPA plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • b_gse
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Geocentric Solar Ecliptic (GSE) cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    standard_name :

    Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • b_gsm
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Geocentric Solar Magnetospheric (GSM) cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSM

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    standard_name :

    Magnetic field vector in GSM plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • bdeltahalf
    (time)
    float32
    [s] dask.array<getitem, shape=(3...

    CATDESC :

    Delta from center time to sample start/finish, sec

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0

    VALIDMIN :

    0.0010000000474974513

    long_name :

    mms1_fgm_bdeltahalf_srvy_l2

    standard_name :

    mms1_fgm_bdeltahalf_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	second

  • etemp
    (time)
    float32
    [°C] dask.array<getitem, shape=(...

    CATDESC :

    Electronics Temperature smoothed four times with6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar

    FILLVAL :

    nan

    SCALETYP :

    linear

    VALIDMAX :

    1000.0

    VALIDMIN :

    -1000.0

    VAR_NOTES :

    Electronics Temperature smoothed four times with6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar. t_maxgap = 240; t_bmaxgap = 240

    long_name :

    mms1_fgm_etemp_srvy_l2

    standard_name :

    mms1_fgm_etemp_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree_Celsius

  • flag
    (time)
    uint32
    [] dask.array<getitem, shape=(34...

    CATDESC :

    0 = No identified problems, non-zero = blank out the data

    FILLVAL :

    4294967295

    SCALETYP :

    linear

    VALIDMAX :

    4294967281

    VALIDMIN :

    0

    VAR_NOTES :

    bit definitions: 0: TBD, 1: TBD, 2: user flagged, 3: TBD, 4: B1 saturated, 5: B2 saturated, 6: B3 saturated, 7: range-change glitch, 8-31: TBD

    long_name :

    mms1_fgm_flag_srvy_l2

    standard_name :

    mms1_fgm_flag_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • hirange
    (time)
    uint8
    [] dask.array<getitem, shape=(34...

    CATDESC :

    1 = High Range, 0 = Low Range

    FILLVAL :

    255

    SCALETYP :

    linear

    VALIDMAX :

    2

    VALIDMIN :

    0

    long_name :

    mms1_fgm_hirange_srvy_l2

    standard_name :

    mms1_fgm_hirange_srvy_l2

    Magnitude	Array Chunk Bytes 337.50 kiB 337.50 kiB Shape (345596,) (345596,) Dask graph 1 chunks in 5 graph layers Data type uint8 numpy.ndarray
    Units	dimensionless

  • mode
    (time)
    float32
    [1/s] dask.array<getitem, shape=...

    CATDESC :

    median rate (Samples/s) of the current instrument mode (NOT necessarily the rate of the L2 data, which may have been downsampled)

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    200.0

    VALIDMIN :

    2.0

    VAR_NOTES :

    8 = slow, 16 = fast, 128 = f128. Note that 128 S/s L1A data is decimated to 16 S/s in srvy L1B

    long_name :

    mms1_fgm_mode_srvy_l2

    standard_name :

    mms1_fgm_mode_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	1/second

  • r_gse
    (ephemeris_time, rank_1)
    float32
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Definitive Position in GSE coordinates, 30 second

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    1000000.0

    VALIDMIN :

    -1000000.0

    standard_name :

    mms1_fgm_r_gse_srvy_l2

    Magnitude	Array Chunk Bytes 8.44 kiB 2.81 kiB Shape (720, 3) (720, 1) Dask graph 3 chunks in 3 graph layers Data type float32 numpy.ndarray
    Units	kilometer

  • r_gsm
    (ephemeris_time, rank_1)
    float32
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Definitive Position in GSM coordinates, 30 second

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSM

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    1000000.0

    VALIDMIN :

    -1000000.0

    standard_name :

    mms1_fgm_r_gsm_srvy_l2

    Magnitude	Array Chunk Bytes 8.44 kiB 2.81 kiB Shape (720, 3) (720, 1) Dask graph 3 chunks in 3 graph layers Data type float32 numpy.ndarray
    Units	kilometer

  • rdeltahalf
    (time)
    float32
    [s] dask.array<getitem, shape=(3...

    CATDESC :

    Median delta between ephemeris samples / 2, sec.

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    100.0

    VALIDMIN :

    1.0

    long_name :

    mms1_fgm_rdeltahalf_srvy_l2

    standard_name :

    mms1_fgm_rdeltahalf_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	second

  • stemp
    (time)
    float32
    [°C] dask.array<getitem, shape=(...

    CATDESC :

    Sensor Temperature smoothed four times with 6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar

    FILLVAL :

    nan

    SCALETYP :

    linear

    VALIDMAX :

    1000.0

    VALIDMIN :

    -1000.0

    VAR_NOTES :

    Sensor Temperature smoothed four times with 6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar. t_maxgap = 240; t_bmaxgap = 240

    long_name :

    mms1_fgm_stemp_srvy_l2

    standard_name :

    mms1_fgm_stemp_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree_Celsius

• Attributes: (38)

  Data_type :

  srvy_l2

  Descriptor :

  FGM>Flux Gate Magnetometer

  Discipline :

  Space Physics>Magnetospheric Science

  File_naming_convention :

  source_descriptor_datatype_yyyyMMdd

  Generated_by :

  UCLA

  Generation_date :

  20160225

  HTTP_LINK :

  ['http://mms.gsfc.nasa.gov/', 'http://mms.space.swri.edu/index.html', 'https://lasp.colorado.edu/mms/sdc', 'http://www-spc.igpp.ucla.edu/ssc/mms', 'http://www.iwf.oeaw.ac.at']

  Instrument_type :

  Magnetic Fields (space)

  LINK_TEXT :

  ['MMS home page', 'SMART package home page', 'Science Data Center', 'FGM team home page', 'FGM team']

  LINK_TITLE :

  ['at GSFC', 'at SWRI', 'at LASP', 'at UCLA', 'at IWF']

  Logical_file_id :

  mms1_fgm_srvy_l2_20151016_v4.18.0

  Logical_source :

  mms1_fgm_srvy_l2

  Logical_source_description :

  Level2 Flux Gate Magnetometer Combined Fast/Slow Survey DC Magnetic Field for MMS Satellite Number 1

  MODS :

  version X=4: First version for public release of L2. Renamed variables to conform with new MMS variable name guidelines (obs_instr_paramName[_coordSys]_mode_level): Mag field parameters include 'b' for paramName. Use 'r' instead of 'pos' for S/C position paramName. Eliminated 'rate', replaced with 'bdeltahalf'. Added 'rdeltahalf'. l1a_mode is now just 'mode'. version X=3: fixed removal of overlap between modes. fixed a bug that caused stemp and etemp to be empty. version X=2: flag parameter name corrected: was 'status' added bits 4, 5, 6 to flag saturation on B1, B2, and B3, respectively added bit 7 to flag bad data at range changes Added etemp and l1a_mode parameters. rate, hirange, and stemp parameters now comply with MMS CDF Guidlelines, e.g. FILLVAL now defined for stemp and etemp, and is set to !values.f_nan No longer use Var_Parents attribute in stemp -- see Parents instead In this version, temperature-corrected gains are applied. Reference temperatures are used when stemp or etemp are set to FILLVAL. Non-linearity correction is applied to high rage DFG data. version X=1: added 'flag', rate and hirange parameters (but 'flag' is actually called 'status')

  Mission_group :

  MMS

  PI_affiliation :

  SWRI, UCLA, IWF

  PI_name :

  J. Burch, C. Russell, W. Magnus

  Parents :

  ['CDF>mms1_afg_fast_l1a_20151016_v1.4.0', 'CDF>mms1_afg_slow_l1a_20151016_v1.4.0', 'CDF>mms1_fields_hk_l1b_10e_20151016_v0.3.3', 'MMS1_DEFATT_2015289_2015289.V00', 'MMS1_DEFATT_2015289_2015290.V00', 'MMS1_DEFEPH_2015288_2015289.V01', 'MMS1_DEFEPH_2015289_2015290.V01', 'CDF>mms1_afg_lorangecal_l2pre_20100101_v4.18.0', 'CDF>mms1_afg_hirangecal_l2pre_20100101_v4.18.0']

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  See MMS Data Rights and Rules for Use https://lasp.colorado.edu/galaxy/display/mms/MMS+Data+Rights+and+Rules+for+Data+Use

  Source_name :

  MMS1>MMS Satellite Number 1

  TEXT :

  ['The Fluxgate Magnetometers (FGM) on Magnetospheric Multiscale consist of a traditional Analog Fluxgate Magnetometer (AFG), and a Digital Fluxgate magnetometer (DFG). The dual magnetometers are operated as a single instrument providing a single intercalibrated data product. Range changes occur at different times on the two instruments so the gains checked each periapsis can be carried out unambiguously to apoapsis. Cross correlation of calibration parameters can separate causes of the any apparent calibration changes. Use of Electron Drift Instrument (EDI) to determine the field along the rotation axis allows accurate monitoring of the zero levels along the rotation axis. Prior to launch the magnetometers were calibrated at the Technical University, Braunschweig, except for the AFG magnetometers on MMS3 and MMS4, which were calibrated at UCLA. Both sets of sensors are operated for the entire MMS orbit, with slow survey (8 samples per second) outside of the Region of Interest (ROI), and fast survey (16 samples per second) inside the ROI. Within the ROI burst mode data (128 samples per second) are also acquired. A detailed description of the MMS fluxgate magnetometers, including science objectives, instrument description, calibration, magnetic cleanliness program, and data flow can be found at http://link.springer.com/article/10.1007%2Fs11214-014-0057-3 (DOI 10.1007/s11214-014-0057-3).Additional information can also be found at http://www-spc.igpp.ucla.edu/ssc/mms (UCLA),and http://www.iwf.oeaw.ac.at (IWF, Graz).', 'For the purpose of creating a unified FGM Level2 data product, burst mode data is taken from DFG and survey mode data is taken from AFG. Because AFG and DFG are cross-calibrated on an orbit-averaged basis, small differences in offset may be observed between Level2 burst and survey mode data. Consequently, any differences are within the error of the measurement. Based on preliminary analysis of the data, the absolute error within the Region of Interest (ROI) is estimated to be no more than 0.1 nT in the spin-plane, 0.15 nT along the spin-axis and 0.2 nT in total magnitude.']

  Time_resolution :

  0.0625 to 0.125 sec

  cdf_file_name :

  mms1_fgm_srvy_l2_20151016_v4.18.0.cdf

  data_level :

  l2

  data_rate :

  srvy

  data_type :

  None

  full_path :

  data.zarr/quick-overview/local/mms1/fgm/bfield/srvy/l2/zarr_2015_10_16_00_00_00

  instrument :

  fgm

  local_path :

  mms1/fgm/bfield/srvy/l2/zarr_2015_10_16_00_00_00

  modified_date :

  2016-02-26T04:29:05

  probe :

  mms1

  size :

  66.233524 MB

  species :

  start_time :

  2015-10-16T00:00:13.330852139

  stop_time :

  2015-10-17T00:00:14.324999497

  timestamp :

  2015_10_16_00_00_00

  version :

  4.18.0

we see that it is described by Dimensions, Coordinates, Data variables, and Attributes. Dimensions describe the shape (degrees of freedom) of arrays. Coordinates label the dimensions, and there can be many coordinates along each dimension. Data variables contain data through the data property, described by both dimensions and coordinates. Attributes attrs are dictionaries containing the metadata describing a Dataset or DataArray.

Let us print a variable from the fgm dataset, say the GSE magnetic field:

fgm.b_gse

<xarray.DataArray 'b_gse' (time: 345596, rank_1: 3)> Size: 4MB
<Quantity(dask.array<getitem, shape=(345596, 3), dtype=float32, chunksize=(83333, 1), chunktype=numpy.ndarray>, 'nanotesla')>
Coordinates:
  * time     (time) datetime64[ns] 3MB 2015-10-16T08:00:00.009373144 ... 2015...
  * rank_1   (rank_1) <U3 36B 'x' 'y' 'z'
Attributes:
    CATDESC:            Magnetic field vector in Geocentric Solar Ecliptic (G...
    CDF_DATA_TYPE:      CDF_REAL4
    COORDINATE_SYSTEM:  GSE
    FILLVAL:            -9.999999848243207e+30
    SCALETYP:           linear
    TENSOR_ORDER:       1
    VALIDMAX:           [17000.0, 17000.0, 17000.0, 17000.0]
    VALIDMIN:           [-17000.0, -17000.0, -17000.0, 0.0]
    standard_name:      Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

xarray.DataArray

'b_gse'

• time: 345596
• rank_1: 3

• [nT] dask.array<getitem, shape=(345596, 3), dtype=float32, chunksiz...

  Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
  Units	nanotesla

• Coordinates: (2)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.009373144 .....

    CATDESC :

    Interval centered time tag (TBC)

    DELTA_MINUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['2010-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.009373144', '2015-10-16T08:00:00.071873953',
           '2015-10-16T08:00:00.134374762', ..., '2015-10-16T13:59:59.851527653',
           '2015-10-16T13:59:59.914028462', '2015-10-16T13:59:59.976529271'],
          shape=(345596,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U3
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U3')

• Attributes: (9)

  CATDESC :

  Magnetic field vector in Geocentric Solar Ecliptic (GSE) cartesian coordinates plus Btotal (8 or 16 S/s)

  CDF_DATA_TYPE :

  CDF_REAL4

  COORDINATE_SYSTEM :

  GSE

  FILLVAL :

  -9.999999848243207e+30

  SCALETYP :

  linear

  TENSOR_ORDER :

  1

  VALIDMAX :

  [17000.0, 17000.0, 17000.0, 17000.0]

  VALIDMIN :

  [-17000.0, -17000.0, -17000.0, 0.0]

  standard_name :

  Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

b_gse has its own dimensions (time and rank_1, i.e., the spatial components), coordinates (time stamps and x,y,z labels), and has its own attrs attached.

Let us examine its data:

fgm.b_gse.data

Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
Units	nanotesla

This is a pint.Quantity which, somewhat similar to astropy.units.Quantity, is an array with units and magnitude properties. Peeling further:

fgm.b_gse.data.magnitude

Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray

is a dask.array.Array, which gives a numpy.ndarray when calling compute():

fgm.b_gse.data.magnitude.compute()

array([[16.745697 ,  1.1965685, 38.113667 ],
       [16.739008 ,  1.2021502, 38.11868  ],
       [16.735033 ,  1.2102581, 38.134525 ],
       ...,
       [ 8.436749 ,  2.7313778, 34.919277 ],
       [ 8.429825 ,  2.7487185, 34.90623  ],
       [ 8.4335165,  2.7598453, 34.902798 ]],
      shape=(345596, 3), dtype=float32)

To see what steps compute() take to produce this numpy.ndarray, examine the dask task graph:

fgm.b_gse.data.magnitude.dask

HighLevelGraph

HighLevelGraph with 5 layers and 133 keys from all layers.

Layer1: original

original-open_dataset-b_gse-55738b345007138d573880a0eb7ec410

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer2: open_dataset

open_dataset-b_gse-55738b345007138d573880a0eb7ec410

layer_type Blockwise is_materialized False number of outputs 39 shape (1024832, 3) dtype float32 chunksize (83333, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-b_gse-55738b345007138d573880a0eb7ec410

Layer3: getitem

getitem-5d650604606e29114a35cdbef1208956

layer_type MaterializedLayer is_materialized True number of outputs 39 shape (1024832, 3) dtype float32 chunksize (83333, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on open_dataset-b_gse-55738b345007138d573880a0eb7ec410

Layer4: getitem

getitem-3947b87275319dcc744137c8c54e321e

layer_type MaterializedLayer is_materialized True number of outputs 39 shape (1024832, 3) dtype float32 chunksize (83333, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on getitem-5d650604606e29114a35cdbef1208956

Layer5: getitem

getitem-240a39d409cf15daa8ce0b75a439d7a2

layer_type MaterializedLayer is_materialized True number of outputs 15 shape (345596, 3) dtype float32 chunksize (83333, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on getitem-3947b87275319dcc744137c8c54e321e

Instead of evaluating operations for numerical results, dask calculates task graphs that plan out the calculations for each data chunk (and how to merge them). Task graphs are automatically optimized and are evaluated when compute() is called. In the dask section below, we provide an example of calculating a complicated graph.

Note that in regular usage, a user does not need to perform the above decomposition steps, since both pint.Quantity and dask.array.Array are exposed in xarray API. compute() can be called on xarray.Dataset and xarray.DataArray:

fgm.b_gse.compute()

<xarray.DataArray 'b_gse' (time: 345596, rank_1: 3)> Size: 4MB
<Quantity([[16.745697   1.1965685 38.113667 ]
 [16.739008   1.2021502 38.11868  ]
 [16.735033   1.2102581 38.134525 ]
 ...
 [ 8.436749   2.7313778 34.919277 ]
 [ 8.429825   2.7487185 34.90623  ]
 [ 8.4335165  2.7598453 34.902798 ]], 'nanotesla')>
Coordinates:
  * time     (time) datetime64[ns] 3MB 2015-10-16T08:00:00.009373144 ... 2015...
  * rank_1   (rank_1) <U3 36B 'x' 'y' 'z'
Attributes:
    CATDESC:            Magnetic field vector in Geocentric Solar Ecliptic (G...
    CDF_DATA_TYPE:      CDF_REAL4
    COORDINATE_SYSTEM:  GSE
    FILLVAL:            -9.999999848243207e+30
    SCALETYP:           linear
    TENSOR_ORDER:       1
    VALIDMAX:           [17000.0, 17000.0, 17000.0, 17000.0]
    VALIDMIN:           [-17000.0, -17000.0, -17000.0, 0.0]
    standard_name:      Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

xarray.DataArray

'b_gse'

• time: 345596
• rank_1: 3

• [nT] 16.75 1.197 38.11 16.74 1.202 ... 2.749 34.91 8.434 2.76 34.9

  Magnitude	[[16.745697021484375 1.196568489074707 38.11366653442383] [16.7390079498291 1.2021502256393433 38.11867904663086] [16.73503303527832 1.21025812625885 38.134525299072266] ... [8.436749458312988 2.7313778400421143 34.91927719116211] [8.429824829101562 2.748718500137329 34.90623092651367] [8.433516502380371 2.75984525680542 34.90279769897461]]
  Units	nanotesla

• Coordinates: (2)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.009373144 .....

    CATDESC :

    Interval centered time tag (TBC)

    DELTA_MINUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['2010-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.009373144', '2015-10-16T08:00:00.071873953',
           '2015-10-16T08:00:00.134374762', ..., '2015-10-16T13:59:59.851527653',
           '2015-10-16T13:59:59.914028462', '2015-10-16T13:59:59.976529271'],
          shape=(345596,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U3
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U3')

• Attributes: (9)

  CATDESC :

  Magnetic field vector in Geocentric Solar Ecliptic (GSE) cartesian coordinates plus Btotal (8 or 16 S/s)

  CDF_DATA_TYPE :

  CDF_REAL4

  COORDINATE_SYSTEM :

  GSE

  FILLVAL :

  -9.999999848243207e+30

  SCALETYP :

  linear

  TENSOR_ORDER :

  1

  VALIDMAX :

  [17000.0, 17000.0, 17000.0, 17000.0]

  VALIDMIN :

  [-17000.0, -17000.0, -17000.0, 0.0]

  standard_name :

  Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

The units and magnitude properties can be accessed via the pint accessor:

fgm.b_gse.pint.units

nanotesla

fgm.b_gse.pint.magnitude

Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray

as well as unit conversion:

fgm.b_gse.pint.to("T")

<xarray.DataArray 'b_gse' (time: 345596, rank_1: 3)> Size: 4MB
<Quantity(dask.array<mul, shape=(345596, 3), dtype=float32, chunksize=(83333, 1), chunktype=numpy.ndarray>, 'tesla')>
Coordinates:
  * time     (time) datetime64[ns] 3MB 2015-10-16T08:00:00.009373144 ... 2015...
  * rank_1   (rank_1) <U3 36B 'x' 'y' 'z'
Attributes:
    CATDESC:            Magnetic field vector in Geocentric Solar Ecliptic (G...
    CDF_DATA_TYPE:      CDF_REAL4
    COORDINATE_SYSTEM:  GSE
    FILLVAL:            -9.999999848243207e+30
    SCALETYP:           linear
    TENSOR_ORDER:       1
    VALIDMAX:           [17000.0, 17000.0, 17000.0, 17000.0]
    VALIDMIN:           [-17000.0, -17000.0, -17000.0, 0.0]
    standard_name:      Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

xarray.DataArray

'b_gse'

• time: 345596
• rank_1: 3

• [T] dask.array<mul, shape=(345596, 3), dtype=float32, chunksize=(83...

  Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 6 graph layers Data type float32 numpy.ndarray
  Units	tesla

• Coordinates: (2)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.009373144 .....

    CATDESC :

    Interval centered time tag (TBC)

    DELTA_MINUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['2010-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.009373144', '2015-10-16T08:00:00.071873953',
           '2015-10-16T08:00:00.134374762', ..., '2015-10-16T13:59:59.851527653',
           '2015-10-16T13:59:59.914028462', '2015-10-16T13:59:59.976529271'],
          shape=(345596,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U3
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U3')

• Attributes: (9)

  CATDESC :

  Magnetic field vector in Geocentric Solar Ecliptic (GSE) cartesian coordinates plus Btotal (8 or 16 S/s)

  CDF_DATA_TYPE :

  CDF_REAL4

  COORDINATE_SYSTEM :

  GSE

  FILLVAL :

  -9.999999848243207e+30

  SCALETYP :

  linear

  TENSOR_ORDER :

  1

  VALIDMAX :

  [17000.0, 17000.0, 17000.0, 17000.0]

  VALIDMIN :

  [-17000.0, -17000.0, -17000.0, 0.0]

  standard_name :

  Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

Switching data store

One can now load fgm directly from 'local' instead of having to synchronize with 'remote':

fgm = mms.load(
    store="local",
    start_time="2015-10-16T08:00:00",
    stop_time="2015-10-16T14:00:00",
    probe="mms1",
    instrument="fgm",
    data_rate="srvy",
    data_level="l2",
)
fgm

<xarray.Dataset> Size: 28MB
Dimensions:         (time: 345596, rank_1: 3, ephemeris_time: 720)
Coordinates:
  * time            (time) datetime64[ns] 3MB 2015-10-16T08:00:00.009373144 ....
  * rank_1          (rank_1) <U3 36B 'x' 'y' 'z'
  * ephemeris_time  (ephemeris_time) datetime64[ns] 6kB 2015-10-16T08:00:24.2...
Data variables: (12/13)
    b_bcs           (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    b_dmpa          (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    b_gse           (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    b_gsm           (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    bdeltahalf      (time) float32 1MB [s] dask.array<getitem, shape=(345596,...
    etemp           (time) float32 1MB [°C] dask.array<getitem, shape=(345596...
    ...              ...
    hirange         (time) uint8 346kB [] dask.array<getitem, shape=(345596,)...
    mode            (time) float32 1MB [1/s] dask.array<getitem, shape=(34559...
    r_gse           (ephemeris_time, rank_1) float32 9kB [km] dask.array<geti...
    r_gsm           (ephemeris_time, rank_1) float32 9kB [km] dask.array<geti...
    rdeltahalf      (time) float32 1MB [s] dask.array<getitem, shape=(345596,...
    stemp           (time) float32 1MB [°C] dask.array<getitem, shape=(345596...
Attributes: (12/38)
    Data_type:                   srvy_l2
    Descriptor:                  FGM>Flux Gate Magnetometer
    Discipline:                  Space Physics>Magnetospheric Science
    File_naming_convention:      source_descriptor_datatype_yyyyMMdd
    Generated_by:                UCLA
    Generation_date:             20160225
    ...                          ...
    size:                        66.233524 MB
    species:                     
    start_time:                  2015-10-16T00:00:13.330852139
    stop_time:                   2015-10-17T00:00:14.324999497
    timestamp:                   2015_10_16_00_00_00
    version:                     4.18.0

xarray.Dataset

• Dimensions:
  • time: 345596
  • rank_1: 3
  • ephemeris_time: 720
• Coordinates: (3)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.009373144 .....

    CATDESC :

    Interval centered time tag (TBC)

    DELTA_MINUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['2010-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.009373144', '2015-10-16T08:00:00.071873953',
           '2015-10-16T08:00:00.134374762', ..., '2015-10-16T13:59:59.851527653',
           '2015-10-16T13:59:59.914028462', '2015-10-16T13:59:59.976529271'],
          shape=(345596,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U3
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U3')

  • ephemeris_time
    (ephemeris_time)
    datetime64[ns]
    2015-10-16T08:00:24.248000 ... 2...

    CATDESC :

    Default time

    DELTA_MINUS_VAR :

    mms1_fgm_rdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_rdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:24.248000000', '2015-10-16T08:00:54.248000000',
           '2015-10-16T08:01:24.248000000', ..., '2015-10-16T13:58:54.248000000',
           '2015-10-16T13:59:24.248000000', '2015-10-16T13:59:54.248000000'],
          shape=(720,), dtype='datetime64[ns]')

• Data variables: (13)
  • b_bcs
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Body Coordinate System cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    BCS>Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    standard_name :

    Magnetic field vector in BCS plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • b_dmpa
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Despun MPA-aligned cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DMPA>Despun Major Principal Axis

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    VAR_NOTES :

    During nominal operatins in the region of interest, DMPA is within 3 degrees of GSE.

    standard_name :

    Magnetic field vector in DMPA plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • b_gse
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Geocentric Solar Ecliptic (GSE) cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    standard_name :

    Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • b_gsm
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Geocentric Solar Magnetospheric (GSM) cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSM

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    standard_name :

    Magnetic field vector in GSM plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • bdeltahalf
    (time)
    float32
    [s] dask.array<getitem, shape=(3...

    CATDESC :

    Delta from center time to sample start/finish, sec

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0

    VALIDMIN :

    0.0010000000474974513

    long_name :

    mms1_fgm_bdeltahalf_srvy_l2

    standard_name :

    mms1_fgm_bdeltahalf_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	second

  • etemp
    (time)
    float32
    [°C] dask.array<getitem, shape=(...

    CATDESC :

    Electronics Temperature smoothed four times with6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar

    FILLVAL :

    nan

    SCALETYP :

    linear

    VALIDMAX :

    1000.0

    VALIDMIN :

    -1000.0

    VAR_NOTES :

    Electronics Temperature smoothed four times with6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar. t_maxgap = 240; t_bmaxgap = 240

    long_name :

    mms1_fgm_etemp_srvy_l2

    standard_name :

    mms1_fgm_etemp_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree_Celsius

  • flag
    (time)
    uint32
    [] dask.array<getitem, shape=(34...

    CATDESC :

    0 = No identified problems, non-zero = blank out the data

    FILLVAL :

    4294967295

    SCALETYP :

    linear

    VALIDMAX :

    4294967281

    VALIDMIN :

    0

    VAR_NOTES :

    bit definitions: 0: TBD, 1: TBD, 2: user flagged, 3: TBD, 4: B1 saturated, 5: B2 saturated, 6: B3 saturated, 7: range-change glitch, 8-31: TBD

    long_name :

    mms1_fgm_flag_srvy_l2

    standard_name :

    mms1_fgm_flag_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • hirange
    (time)
    uint8
    [] dask.array<getitem, shape=(34...

    CATDESC :

    1 = High Range, 0 = Low Range

    FILLVAL :

    255

    SCALETYP :

    linear

    VALIDMAX :

    2

    VALIDMIN :

    0

    long_name :

    mms1_fgm_hirange_srvy_l2

    standard_name :

    mms1_fgm_hirange_srvy_l2

    Magnitude	Array Chunk Bytes 337.50 kiB 337.50 kiB Shape (345596,) (345596,) Dask graph 1 chunks in 5 graph layers Data type uint8 numpy.ndarray
    Units	dimensionless

  • mode
    (time)
    float32
    [1/s] dask.array<getitem, shape=...

    CATDESC :

    median rate (Samples/s) of the current instrument mode (NOT necessarily the rate of the L2 data, which may have been downsampled)

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    200.0

    VALIDMIN :

    2.0

    VAR_NOTES :

    8 = slow, 16 = fast, 128 = f128. Note that 128 S/s L1A data is decimated to 16 S/s in srvy L1B

    long_name :

    mms1_fgm_mode_srvy_l2

    standard_name :

    mms1_fgm_mode_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	1/second

  • r_gse
    (ephemeris_time, rank_1)
    float32
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Definitive Position in GSE coordinates, 30 second

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    1000000.0

    VALIDMIN :

    -1000000.0

    standard_name :

    mms1_fgm_r_gse_srvy_l2

    Magnitude	Array Chunk Bytes 8.44 kiB 2.81 kiB Shape (720, 3) (720, 1) Dask graph 3 chunks in 3 graph layers Data type float32 numpy.ndarray
    Units	kilometer

  • r_gsm
    (ephemeris_time, rank_1)
    float32
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Definitive Position in GSM coordinates, 30 second

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSM

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    1000000.0

    VALIDMIN :

    -1000000.0

    standard_name :

    mms1_fgm_r_gsm_srvy_l2

    Magnitude	Array Chunk Bytes 8.44 kiB 2.81 kiB Shape (720, 3) (720, 1) Dask graph 3 chunks in 3 graph layers Data type float32 numpy.ndarray
    Units	kilometer

  • rdeltahalf
    (time)
    float32
    [s] dask.array<getitem, shape=(3...

    CATDESC :

    Median delta between ephemeris samples / 2, sec.

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    100.0

    VALIDMIN :

    1.0

    long_name :

    mms1_fgm_rdeltahalf_srvy_l2

    standard_name :

    mms1_fgm_rdeltahalf_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	second

  • stemp
    (time)
    float32
    [°C] dask.array<getitem, shape=(...

    CATDESC :

    Sensor Temperature smoothed four times with 6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar

    FILLVAL :

    nan

    SCALETYP :

    linear

    VALIDMAX :

    1000.0

    VALIDMIN :

    -1000.0

    VAR_NOTES :

    Sensor Temperature smoothed four times with 6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar. t_maxgap = 240; t_bmaxgap = 240

    long_name :

    mms1_fgm_stemp_srvy_l2

    standard_name :

    mms1_fgm_stemp_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree_Celsius

• Attributes: (38)

  Data_type :

  srvy_l2

  Descriptor :

  FGM>Flux Gate Magnetometer

  Discipline :

  Space Physics>Magnetospheric Science

  File_naming_convention :

  source_descriptor_datatype_yyyyMMdd

  Generated_by :

  UCLA

  Generation_date :

  20160225

  HTTP_LINK :

  ['http://mms.gsfc.nasa.gov/', 'http://mms.space.swri.edu/index.html', 'https://lasp.colorado.edu/mms/sdc', 'http://www-spc.igpp.ucla.edu/ssc/mms', 'http://www.iwf.oeaw.ac.at']

  Instrument_type :

  Magnetic Fields (space)

  LINK_TEXT :

  ['MMS home page', 'SMART package home page', 'Science Data Center', 'FGM team home page', 'FGM team']

  LINK_TITLE :

  ['at GSFC', 'at SWRI', 'at LASP', 'at UCLA', 'at IWF']

  Logical_file_id :

  mms1_fgm_srvy_l2_20151016_v4.18.0

  Logical_source :

  mms1_fgm_srvy_l2

  Logical_source_description :

  Level2 Flux Gate Magnetometer Combined Fast/Slow Survey DC Magnetic Field for MMS Satellite Number 1

  MODS :

  version X=4: First version for public release of L2. Renamed variables to conform with new MMS variable name guidelines (obs_instr_paramName[_coordSys]_mode_level): Mag field parameters include 'b' for paramName. Use 'r' instead of 'pos' for S/C position paramName. Eliminated 'rate', replaced with 'bdeltahalf'. Added 'rdeltahalf'. l1a_mode is now just 'mode'. version X=3: fixed removal of overlap between modes. fixed a bug that caused stemp and etemp to be empty. version X=2: flag parameter name corrected: was 'status' added bits 4, 5, 6 to flag saturation on B1, B2, and B3, respectively added bit 7 to flag bad data at range changes Added etemp and l1a_mode parameters. rate, hirange, and stemp parameters now comply with MMS CDF Guidlelines, e.g. FILLVAL now defined for stemp and etemp, and is set to !values.f_nan No longer use Var_Parents attribute in stemp -- see Parents instead In this version, temperature-corrected gains are applied. Reference temperatures are used when stemp or etemp are set to FILLVAL. Non-linearity correction is applied to high rage DFG data. version X=1: added 'flag', rate and hirange parameters (but 'flag' is actually called 'status')

  Mission_group :

  MMS

  PI_affiliation :

  SWRI, UCLA, IWF

  PI_name :

  J. Burch, C. Russell, W. Magnus

  Parents :

  ['CDF>mms1_afg_fast_l1a_20151016_v1.4.0', 'CDF>mms1_afg_slow_l1a_20151016_v1.4.0', 'CDF>mms1_fields_hk_l1b_10e_20151016_v0.3.3', 'MMS1_DEFATT_2015289_2015289.V00', 'MMS1_DEFATT_2015289_2015290.V00', 'MMS1_DEFEPH_2015288_2015289.V01', 'MMS1_DEFEPH_2015289_2015290.V01', 'CDF>mms1_afg_lorangecal_l2pre_20100101_v4.18.0', 'CDF>mms1_afg_hirangecal_l2pre_20100101_v4.18.0']

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  See MMS Data Rights and Rules for Use https://lasp.colorado.edu/galaxy/display/mms/MMS+Data+Rights+and+Rules+for+Data+Use

  Source_name :

  MMS1>MMS Satellite Number 1

  TEXT :

  ['The Fluxgate Magnetometers (FGM) on Magnetospheric Multiscale consist of a traditional Analog Fluxgate Magnetometer (AFG), and a Digital Fluxgate magnetometer (DFG). The dual magnetometers are operated as a single instrument providing a single intercalibrated data product. Range changes occur at different times on the two instruments so the gains checked each periapsis can be carried out unambiguously to apoapsis. Cross correlation of calibration parameters can separate causes of the any apparent calibration changes. Use of Electron Drift Instrument (EDI) to determine the field along the rotation axis allows accurate monitoring of the zero levels along the rotation axis. Prior to launch the magnetometers were calibrated at the Technical University, Braunschweig, except for the AFG magnetometers on MMS3 and MMS4, which were calibrated at UCLA. Both sets of sensors are operated for the entire MMS orbit, with slow survey (8 samples per second) outside of the Region of Interest (ROI), and fast survey (16 samples per second) inside the ROI. Within the ROI burst mode data (128 samples per second) are also acquired. A detailed description of the MMS fluxgate magnetometers, including science objectives, instrument description, calibration, magnetic cleanliness program, and data flow can be found at http://link.springer.com/article/10.1007%2Fs11214-014-0057-3 (DOI 10.1007/s11214-014-0057-3).Additional information can also be found at http://www-spc.igpp.ucla.edu/ssc/mms (UCLA),and http://www.iwf.oeaw.ac.at (IWF, Graz).', 'For the purpose of creating a unified FGM Level2 data product, burst mode data is taken from DFG and survey mode data is taken from AFG. Because AFG and DFG are cross-calibrated on an orbit-averaged basis, small differences in offset may be observed between Level2 burst and survey mode data. Consequently, any differences are within the error of the measurement. Based on preliminary analysis of the data, the absolute error within the Region of Interest (ROI) is estimated to be no more than 0.1 nT in the spin-plane, 0.15 nT along the spin-axis and 0.2 nT in total magnitude.']

  Time_resolution :

  0.0625 to 0.125 sec

  cdf_file_name :

  mms1_fgm_srvy_l2_20151016_v4.18.0.cdf

  data_level :

  l2

  data_rate :

  srvy

  data_type :

  None

  full_path :

  data.zarr/quick-overview/local/mms1/fgm/bfield/srvy/l2/zarr_2015_10_16_00_00_00

  instrument :

  fgm

  local_path :

  mms1/fgm/bfield/srvy/l2/zarr_2015_10_16_00_00_00

  modified_date :

  2016-02-26T04:29:05

  probe :

  mms1

  size :

  66.233524 MB

  species :

  start_time :

  2015-10-16T00:00:13.330852139

  stop_time :

  2015-10-17T00:00:14.324999497

  timestamp :

  2015_10_16_00_00_00

  version :

  4.18.0

Note

By default, when mmspy.load(store="remote") is called a second time, mmspy checks if the local zarr files are updated with the remote, and calls mmspy.load(store="local") if they are to avoid downloading the same file twice.

Note that this makes it very convenient to switch between 'remote' and 'local', and any secondary (or tertiary, and so on and so forth) data stores. This allows a research project to mutate and combine different MMS datasets through many stages to obtain publication-worthy results! More on this later.

Persistent query

When provided as arguments for mmspy.load(), the query parameters are not remembered. Thus, after the load() call is finished, mmspy.query is still empty:

mms.query.show()

  * start_time        : NaT
  * stop_time         : NaT
  * probe             : None (Alias: None)
  * instrument        : None (Alias: None)
  * data_rate         : None (Alias: None)
  * data_type         : None (Alias: None)
  * data_level        : None (Alias: None)
  * ancillary_product : None (Alias: None)

To make the query persistent, assign the parameters directly into mmspy.query:

mms.query.start_time = "2015-10-16T08:00:00"
mms.query.stop_time = "2015-10-16T14:00:00"
mms.query.probe = "mms1"
mms.query.data_rate = "fast"
mms.query.data_level = "l2"
mms.query.show()

  * start_time        : 2015-10-16 08:00:00
  * stop_time         : 2015-10-16 14:00:00
  * probe             : mms1 (Alias: mms1)
  * instrument        : None (Alias: None)
  * data_rate         : fast (Alias: fast)
  * data_type         : None (Alias: None)
  * data_level        : l2 (Alias: l2)
  * ancillary_product : None (Alias: None)

This shortens the necessary parameters to specify for later load() calls. For example, the Electric Double Probes (EDP) dataset can be loaded with:

edp = mms.load(instrument="edp", data_type="dce")
edp

26-Mar-20 03:50:58 [INFO] Query is set from 2015-10-16 08:00:00 to 2015-10-16 14:00:00.

26-Mar-20 03:51:01 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/edp/dce/fast/l2/zarr_2015_10_16_00_00_00.

26-Mar-20 03:51:01 [INFO] Synchronized remote file mms1_edp_fast_l2_dce_20151016_v2.1.0.cdf to local file zarr_2015_10_16_00_00_00.

26-Mar-20 03:51:03 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/edp/dce/fast/l2/zarr_2015_10_17_00_00_00.

26-Mar-20 03:51:03 [INFO] Synchronized remote file mms1_edp_fast_l2_dce_20151017_v2.1.0.cdf to local file zarr_2015_10_17_00_00_00.

26-Mar-20 03:51:04 [INFO] Synchronized remote store mms1/edp/fast/l2/dce to local store local/mms1/edp/dce/fast/l2.

<xarray.Dataset> Size: 66MB
Dimensions:           (time: 691191, rank_1: 3)
Coordinates:
  * time              (time) datetime64[ns] 6MB 2015-10-16T08:00:00.021513231...
  * rank_1            (rank_1) <U1 12B 'x' 'y' 'z'
Data variables:
    bitmask           (time) uint16 1MB [] dask.array<getitem, shape=(691191,...
    dce_dsl           (time, rank_1) float32 8MB [mV/m] dask.array<getitem, s...
    dce_dsl_EdotBres  (time) float32 3MB [mV/m] dask.array<getitem, shape=(69...
    dce_dsl_offset    (time, rank_1) float32 8MB [mV/m] dask.array<getitem, s...
    dce_dsl_res       (time, rank_1) float32 8MB [mV/m] dask.array<getitem, s...
    dce_dsl_sc0       (time, rank_1) float32 8MB [mV/m] dask.array<getitem, s...
    dce_err           (time, rank_1) float32 8MB [mV/m] dask.array<getitem, s...
    dce_gse           (time, rank_1) float32 8MB [mV/m] dask.array<getitem, s...
    dce_par_epar      (time) float32 3MB [mV/m] dask.array<getitem, shape=(69...
    dce_par_epar_err  (time) float32 3MB [mV/m] dask.array<getitem, shape=(69...
    deltap            int64 8B [ns] 15625000
    quality           (time) uint8 691kB [] dask.array<getitem, shape=(691191...
Attributes: (12/38)
    Calibration_file:            /mms/itfhome/mms-fieldspro/cal/mms1_edp_fast...
    Data_type:                   fast_l2_dce
    Descriptor:                  EDP>Electric Double Probe
    Discipline:                  Space Physics>Magnetospheric Science
    File_naming_convention:      source_descriptor_datatype_yyyyMMddHHmmss
    Generated_by:                IRFU Matlab v1.10.0 and LASP IDL v8.4 while ...
    ...                          ...
    size:                        103.933807 MB
    species:                     
    start_time:                  2015-10-16T04:59:05.568476126
    stop_time:                   2015-10-16T16:33:56.077010429
    timestamp:                   2015_10_16_00_00_00
    version:                     2.1.0

xarray.Dataset

• Dimensions:
  • time: 691191
  • rank_1: 3
• Coordinates: (2)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.021513231 .....

    CATDESC :

    Time tags, in TT2000

    DELTA_MINUS_VAR :

    mms1_edp_deltap_fast_l2

    DELTA_PLUS_VAR :

    mms1_edp_deltap_fast_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2100-01-01T00:00:00.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.021513231', '2015-10-16T08:00:00.052763636',
           '2015-10-16T08:00:00.084014040', ..., '2015-10-16T13:59:59.926176154',
           '2015-10-16T13:59:59.957426558', '2015-10-16T13:59:59.988676963'],
          shape=(691191,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

• Data variables: (12)
  • bitmask
    (time)
    uint16
    [] dask.array<getitem, shape=(69...

    CATDESC :

    Status bitmask

    FILLVAL :

    65535

    TENSOR_ORDER :

    0

    VALIDMAX :

    65534

    VALIDMIN :

    0

    standard_name :

    Status bitmask

    Magnitude	Array Chunk Bytes 1.32 MiB 0.95 MiB Shape (691191,) (500000,) Dask graph 3 chunks in 5 graph layers Data type uint16 numpy.ndarray
    Units	dimensionless

  • dce_dsl
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    L2 DC E Field calibrated for SDP and ADP

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    DCE fast l2

    standard_name :

    mms1_edp_dce_dsl_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_dsl_EdotBres
    (time)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    EdotB residue

    FILLVAL :

    -9.999999848243207e+30

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    EdotB residue

    standard_name :

    mms1_edp_dce_dsl_EdotBres_fast_l2

    Magnitude	Array Chunk Bytes 2.64 MiB 0.95 MiB Shape (691191,) (250000,) Dask graph 4 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_dsl_offset
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    DCE field residue without S curve

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    DCE E residue w/o S curve

    standard_name :

    mms1_edp_dce_dsl_offset_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_dsl_res
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    E field difference between L2 output and L1 input

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    E residue

    standard_name :

    mms1_edp_dce_dsl_res_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_dsl_sc0
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    Amplitude of S curve corrections

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    amplitude of S curve correction

    standard_name :

    mms1_edp_dce_dsl_sc0_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_err
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    Approximate DC E field error derived rom SDP (quality and bitmask) and ADP (residue)

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    DCE E error

    standard_name :

    mms1_edp_dce_err_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_gse
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    L2 DC E Field calibrated for SDP and ADP

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    DCE fast l2

    standard_name :

    mms1_edp_dce_gse_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_par_epar
    (time)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    L2 DC E parallel Field from calibrated SDP and ADP and assoc error

    COORDINATE_SYSTEM :

    FAC

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    E parallel fast l2

    standard_name :

    mms1_edp_dce_par_epar_fast_l2

    Magnitude	Array Chunk Bytes 2.64 MiB 0.95 MiB Shape (691191,) (250000,) Dask graph 4 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_par_epar_err
    (time)
    float32
    [mV/m] dask.array<getitem, shape...

    Magnitude	Array Chunk Bytes 2.64 MiB 0.95 MiB Shape (691191,) (250000,) Dask graph 4 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • deltap
    ()
    int64
    [ns] 15625000

    CATDESC :

    Delta plus/minus, time interval during which the data was measured

    FILLVAL :

    -9223372036854775808

    VALIDMAX :

    62500000

    VALIDMIN :

    30517

    standard_name :

    Delta plus/minus

    15625000 nanosecond
  • quality
    (time)
    uint8
    [] dask.array<getitem, shape=(69...

    CATDESC :

    Quality indicator (3 good), (2 ok data, use with some caution), (1 bad data, use with caution), (0 Really bad data or no data at all)

    FILLVAL :

    255

    TENSOR_ORDER :

    0

    VALIDMAX :

    4

    VALIDMIN :

    0

    standard_name :

    Quality indicator

    Magnitude	Array Chunk Bytes 674.99 kiB 637.37 kiB Shape (691191,) (652662,) Dask graph 2 chunks in 5 graph layers Data type uint8 numpy.ndarray
    Units	dimensionless

• Attributes: (38)

  Calibration_file :

  /mms/itfhome/mms-fieldspro/cal/mms1_edp_fast_l2_dce_v2.1.1

  Data_type :

  fast_l2_dce

  Descriptor :

  EDP>Electric Double Probe

  Discipline :

  Space Physics>Magnetospheric Science

  File_naming_convention :

  source_descriptor_datatype_yyyyMMddHHmmss

  Generated_by :

  IRFU Matlab v1.10.0 and LASP IDL v8.4 while running at SDC.

  Generation_date :

  20170831

  HTTP_LINK :

  https://mms.gsfc.nasa.gov/

  Instrument_type :

  Electric Fields (space)

  LINK_TEXT :

  Magnetospheric Multiscale (MMS) mission home page

  LINK_TITLE :

  At NASA GSFC

  Logical_file_id :

  mms1_edp_fast_l2_dce_20151016_v2.1.0

  Logical_source :

  mms1_edp_fast_l2_dce_20151016

  Logical_source_description :

  MMS1 L2 (fast), 3D Electric field

  MODS :

  V.0. Initial release.

  Mission_group :

  MMS

  PI_affiliation :

  SWRI, LASP, KTH

  PI_name :

  J.Burch, R.Ergun, P.Lindqvist.

  Parents :

  ['CDF>mms1_edp_fast_l2pre_dce_20151016_v2.1.1', 'CDF>mms1_afg_srvy_l2pre_20151016_v5.18.0', 'CDF>mms1_edp_fast_l2_scpot_20151016000000_v2.4.0', 'CDF>mms1_mec_srvy_l2_ephts04d_20151016_v2.0.0']

  Project :

  STP>Solar-Terrestrial Physics

  Skeleton_version :

  v0.0.7

  Source_name :

  MMS1>MMS Satellite Number 1

  TEXT :

  ['https://mms.gsfc.nasa.gov/', 'For detailed timing information, such as needed for cross spectral analysis, please consult the EDP Data Products Guide.']

  cdf_file_name :

  mms1_edp_fast_l2_dce_20151016_v2.1.0.cdf

  data_level :

  l2

  data_rate :

  fast

  data_type :

  dce

  full_path :

  data.zarr/quick-overview/local/mms1/edp/dce/fast/l2/zarr_2015_10_16_00_00_00

  instrument :

  edp

  local_path :

  mms1/edp/dce/fast/l2/zarr_2015_10_16_00_00_00

  modified_date :

  2017-08-31T05:47:31

  probe :

  mms1

  size :

  103.933807 MB

  species :

  start_time :

  2015-10-16T04:59:05.568476126

  stop_time :

  2015-10-16T16:33:56.077010429

  timestamp :

  2015_10_16_00_00_00

  version :

  2.1.0

Similarly, ion moments from the Fast Plasma Investigation (FPI):

ion_fpi = mms.load(instrument="fpi", data_type="dis-moms")
ion_fpi

26-Mar-20 03:51:04 [INFO] Query is set from 2015-10-16 08:00:00 to 2015-10-16 14:00:00.

26-Mar-20 03:51:04 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_06_00_00.

26-Mar-20 03:51:05 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016060000_v3.4.0.cdf to local file zarr_2015_10_16_06_00_00.

26-Mar-20 03:51:05 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_08_00_00.

26-Mar-20 03:51:05 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0.cdf to local file zarr_2015_10_16_08_00_00.

26-Mar-20 03:51:06 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_10_00_00.

26-Mar-20 03:51:06 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016100000_v3.4.0.cdf to local file zarr_2015_10_16_10_00_00.

26-Mar-20 03:51:06 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_12_00_00.

26-Mar-20 03:51:06 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016120000_v3.4.0.cdf to local file zarr_2015_10_16_12_00_00.

26-Mar-20 03:51:06 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_14_00_00.

26-Mar-20 03:51:07 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016140000_v3.4.0.cdf to local file zarr_2015_10_16_14_00_00.

26-Mar-20 03:51:07 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_16_00_00.

26-Mar-20 03:51:07 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016160000_v3.4.0.cdf to local file zarr_2015_10_16_16_00_00.

26-Mar-20 03:51:07 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_17_04_00_00.

26-Mar-20 03:51:08 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151017040000_v3.4.0.cdf to local file zarr_2015_10_17_04_00_00.

26-Mar-20 03:51:08 [INFO] Synchronized remote store mms1/fpi/fast/l2/dis-moms to local store local/mms1/fpi/dis-moms/fast/l2.

<xarray.Dataset> Size: 7MB
Dimensions:                    (time: 4800, rank_1: 3, energy_channel: 32,
                                rank_2: 6)
Coordinates:
  * time                       (time) datetime64[ns] 38kB 2015-10-16T08:00:03...
  * rank_1                     (rank_1) <U1 12B 'x' 'y' 'z'
  * energy_channel             (energy_channel) int8 32B 0 1 2 3 ... 28 29 30 31
  * rank_2                     (rank_2) <U2 48B 'xx' 'yy' 'zz' 'xy' 'xz' 'yz'
    energy                     (time, energy_channel) float32 614kB [eV] dask...
Data variables: (12/37)
    Epoch_minus_var            (time) float32 19kB [s] 0.0 0.0 0.0 ... 0.0 0.0
    Epoch_plus_var             (time) float32 19kB [s] 4.5 4.5 4.5 ... 4.5 4.5
    bulkv_dbcs                 (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_err                  (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_gse                  (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_spintone_dbcs        (time, rank_1) float32 58kB [km/s] dask.array<...
    ...                         ...
    startdelphi_count          (time) uint16 10kB [] dask.array<getitem, shap...
    temppara                   (time) float32 19kB [eV] dask.array<getitem, s...
    tempperp                   (time) float32 19kB [eV] dask.array<getitem, s...
    temptensor_dbcs            (time, rank_2) float32 115kB [eV] dask.array<g...
    temptensor_err             (time, rank_2) float32 115kB [eV] dask.array<g...
    temptensor_gse             (time, rank_2) float32 115kB [eV] dask.array<g...
Attributes: (12/57)
    Correction_table_name:                mms1_dis_fast_f1ct_v21-0211_0222_p0...
    Correction_table_rev:                 7825
    Correction_table_scaling_factor:      1.00000
    Data_type:                            fast_l2_dis-moms
    Dead_time_correction:                 100 ns
    Descriptor:                           DIS>Dual Ion Spectrometers
    ...                                   ...
    size:                                 2.240963 MB
    species:                              ion
    start_time:                           2015-10-16T08:00:03.908768999
    stop_time:                            2015-10-16T09:59:59.457722999
    timestamp:                            2015_10_16_08_00_00
    version:                              3.4.0

xarray.Dataset

• Dimensions:
  • time: 4800
  • rank_1: 3
  • energy_channel: 32
  • rank_2: 6
• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:03.908768999 .....

    CATDESC :

    Centered timestamps

    DELTA_MINUS_VAR :

    Epoch_minus_var

    DELTA_PLUS_VAR :

    Epoch_plus_var

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2099-12-31T23:59:59.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    VAR_NOTES :

    MMS1 FPI/DIS survey data begin-time; derived from survey packet time.

    standard_name :

    Time

    array(['2015-10-16T08:00:03.908768999', '2015-10-16T08:00:08.408801999',
           '2015-10-16T08:00:12.908828999', ..., '2015-10-16T13:59:50.557325999',
           '2015-10-16T13:59:55.057353999', '2015-10-16T13:59:59.557388999'],
          shape=(4800,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

  • energy_channel
    (energy_channel)
    int8
    0 1 2 3 4 5 6 ... 26 27 28 29 30 31

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], dtype=int8)

  • rank_2
    (rank_2)
    <U2
    'xx' 'yy' 'zz' 'xy' 'xz' 'yz'

    array(['xx', 'yy', 'zz', 'xy', 'xz', 'yz'], dtype='<U2')

  • energy
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map energies

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_energy_delta_fast

    DELTA_PLUS_VAR :

    mms1_dis_energy_delta_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    30000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Geometric mean of parity 0 and parity 1 energies in the 64-step FPI energy table

    long_name :

    energy

    standard_name :

    MMS1 FPI/DIS energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

• Data variables: (37)
  • Epoch_minus_var
    (time)
    float32
    [s] 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0

    CATDESC :

    MMS1 FPI/DIS epoch minus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    standard_name :

    MMS1 FPI/DIS epoch minus var

    Magnitude	[0.0 0.0 0.0 ... 0.0 0.0 0.0]
    Units	second

  • Epoch_plus_var
    (time)
    float32
    [s] 4.5 4.5 4.5 4.5 ... 4.5 4.5 4.5

    CATDESC :

    MMS1 FPI/DIS epoch plus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    standard_name :

    MMS1 FPI/DIS epoch plus var

    Magnitude	[4.5 4.5 4.5 ... 4.5 4.5 4.5]
    Units	second

  • bulkv_dbcs
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    standard_name :

    MMS1 FPI/DIS DBCS bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_err
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    standard_name :

    MMS1 FPI/DIS bulk v error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_gse
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    standard_name :

    MMS1 FPI/DIS GSE bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_spintone_dbcs
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    standard_name :

    MMS1 FPI/DIS DBCS bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_spintone_gse
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    standard_name :

    MMS1 FPI/DIS GSE bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • compressionloss
    (time)
    uint8
    [] 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1

    CATDESC :

    MMS1 FPI/DIS compression lossless/lossy indicator at survey-start time

    FILLVAL :

    255

    SCALETYP :

    linear

    VALIDMAX :

    1

    VALIDMIN :

    0

    VAR_NOTES :

    FPI/DIS compression loss indicator, 0=lossless, 1=lossy

    long_name :

    compressFlag

    standard_name :

    MMS1 FPI/DIS compression flag

    Magnitude	[1 1 1 ... 1 1 1]
    Units	dimensionless

  • densityextrapolation_high
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to infinity) contribution to density integral above 30keV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS density extrapolation (high)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • densityextrapolation_low
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to 0) contribution to density integral below 10eV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS density extrapolation (low)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • energy_delta
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map delta energies

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Note that the deltas are provided to indicate that FPI is reporting the energy bin centers. These do not necessarily reflect the energy bandwidth that is sampled by FPI at a given energy step.

    long_name :

    delta energy

    standard_name :

    MMS1 FPI/DIS delta energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • energyspectr_mx
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -x axis (instrument look angles: 45deg <= theta < 135deg and phi >= 315deg or phi < 45deg).

    long_name :

    DEF_mx

    standard_name :

    MMS1 FPI/DIS energySpectr_mX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_my
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -y axis (instrument look angles: 45deg <= theta < 135deg and 45deg <= phi < 135deg).

    long_name :

    DEF_my

    standard_name :

    MMS1 FPI/DIS energySpectr_mY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_mz
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -z axis (instrument look angles: 0deg <= theta < 45deg and 0deg <= phi < 360deg).

    long_name :

    DEF_mz

    standard_name :

    MMS1 FPI/DIS energySpectr_mZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_omni
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS omni-directional ion energy spectrum during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_omni

    standard_name :

    MMS1 FPI/DIS energySpectr_omni

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_px
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +x axis (instrument look angles: 45deg <= theta < 135deg and 135deg <= phi < 225deg).

    long_name :

    DEF_px

    standard_name :

    MMS1 FPI/DIS energySpectr_pX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_py
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +y axis (instrument look angles: 45deg <= theta < 135deg and 225deg <= phi < 315deg).

    long_name :

    DEF_py

    standard_name :

    MMS1 FPI/DIS energySpectr_pY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_pz
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +z axis (instrument look angles: 135deg <= theta < 180deg and 0deg <= phi < 360deg).

    long_name :

    DEF_pz

    standard_name :

    MMS1 FPI/DIS energySpectr_pZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • errorflags
    (time)
    uint32
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS vector of data-quality indicators at survey-start time

    FILLVAL :

    4294967295

    SCALETYP :

    linear

    VALIDMAX :

    4294967294

    VALIDMIN :

    0

    VAR_NOTES :

    Value of zero signifies no quality errors. For non-zero values: Bit-0 = manually flagged interval, Bit-1 = overcounting/saturation effects likely present in skymap, Bit-2 = reported spacecraft potential above 20V, Bit-3 = invalid/unavailable spacecraft potential, Bit-4 = significant (>10%) cold plasma (<10eV) component, Bit-5 = significant (>25%) hot plasma (>30keV) component, Bit-6 = high sonic Mach number (v/vth > 2.5), Bit-7 = low calculated density (n_DIS <= 0.0 cm^-3), Bit-8 = bentPipe magnetic field used instead of srvy l2pre magnetic field, Bit-10 = no internally generated photoelectron correction applied, Bit-11 = compression pipeline error, Bit-12 = spintone calculation error (DBCS only), Bit-13 = significant (>=20%) penetrating radiation, Bit-14 = high MMS3 spintone due to DIS008 anomaly

    long_name :

    errFlags

    standard_name :

    MMS1 FPI/DIS dataQuality errorFlags

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • heatq_dbcs
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    standard_name :

    MMS1 FPI/DIS DBCS heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • heatq_err
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    standard_name :

    MMS1 FPI/DIS heatq error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • heatq_gse
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    standard_name :

    MMS1 FPI/DIS GSE heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • numberdensity
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_numberdensity_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_numberdensity_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • numberdensity_bg
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion background number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background number density derived via integration of the estimated background differential energy flux.

    long_name :

    N_bg

    standard_name :

    MMS1 FPI/DIS background number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • numberdensity_err
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N_err

    standard_name :

    MMS1 FPI/DIS number density error

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • pres_bg
    (time)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion background pressure during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    long_name :

    DEF_pres_bg

    standard_name :

    MMS1 FPI/DIS pres_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_dbcs
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_DBCS

    standard_name :

    MMS1 FPI/DIS DBCS pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_err
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    200000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    P_err

    standard_name :

    MMS1 FPI/DIS pres error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_gse
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_GSE

    standard_name :

    MMS1 FPI/DIS GSE pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • spectr_bg
    (time)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion background energy during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_spect_bg

    standard_name :

    MMS1 FPI/DIS spectr_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • startdelphi_angle
    (time)
    float32
    [deg] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) angle at survey-start time

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    360.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Nominally, spin-phase angles range over [0, 360) deg. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_ang

    standard_name :

    MMS1 FPI/DIS start Del-Phi angle

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	degree

  • startdelphi_count
    (time)
    uint16
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) count at survey-start time

    FILLVAL :

    65535

    SCALETYP :

    linear

    VALIDMAX :

    5761

    VALIDMIN :

    0

    VAR_NOTES :

    Nominally, spin-phase counts range over [0000, 5759] cnts. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_cnt

    standard_name :

    MMS1 FPI/DIS start Del-Phi count

    Magnitude	Array Chunk Bytes 9.38 kiB 3.12 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint16 numpy.ndarray
    Units	dimensionless

  • temppara
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion parallel temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_para

    standard_name :

    MMS1 FPI1/DIS tempPara

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • tempperp
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion perpendicular temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_perp

    standard_name :

    MMS1 FPI1/DIS tempPerp

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_dbcs
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_DBCS

    standard_name :

    MMS1 FPI/DIS DBCS temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_err
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    60000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    T_err

    standard_name :

    MMS1 FPI/DIS DBCS temp error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_gse
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_GSE

    standard_name :

    MMS1 FPI/DIS GSE temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

• Attributes: (57)

  Correction_table_name :

  mms1_dis_fast_f1ct_v21-0211_0222_p0-2.cdf

  Correction_table_rev :

  7825

  Correction_table_scaling_factor :

  1.00000

  Data_type :

  fast_l2_dis-moms

  Dead_time_correction :

  100 ns

  Descriptor :

  DIS>Dual Ion Spectrometers

  Discipline :

  Space Physics>Magnetospheric Science

  Energy_e0 :

  100.00eV

  Energy_table_name :

  energies_dis_0-2.txt

  File_naming_convention :

  source_descriptor_datatype_yyyyMMddHHmmss

  Generated_by :

  FPI ITF, NASA/GSFC Code 673

  Generation_date :

  Tue Aug 8 02:06:43 2023

  Generation_site :

  ITF

  HTTP_LINK :

  ['http://mms.gsfc.nasa.gov', 'http://mms.space.swri.edu', 'http://lasp.colorado.edu/mms/sdc', 'http://www.nasa.gov/mission_pages/mms/spacecraft/instruments.html#fpi']

  High_energy_extrapolation :

  Enabled

  Instrument_type :

  ['Plasma and Solar Wind', 'Particles (space)']

  LINK_TEXT :

  ['MMS home page', 'SMART package home page', 'Science Data Center', 'FPI overview']

  LINK_TITLE :

  ['at GSFC', 'at SWRI', 'at LASP', 'at NASA']

  Logical_file_id :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0

  Logical_source :

  mms1_fpi_fast_l2_dis-moms

  Logical_source_description :

  MMS Satellite Number 1 Dual Ion Spectrometer FastSurvey-resolution distribution moments

  Low_energy_extrapolation :

  Disabled

  Lower_energy_integration_limit :

  10.00eV

  MODS :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for data set modification history.

  Magnetic_field_filenames :

  mms1_fgm_srvy_l2_20151016_v4.18.0.cdf mms1_fgm_srvy_l2_20151017_v4.18.0.cdf

  Mission_group :

  MMS

  PI_affiliation :

  SwRI, GSFC

  PI_name :

  J. Burch, B. Giles

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for rules of use.

  Scp_energy_fraction :

  1.00eV

  Skeleton_revdate :

  $Date: 2023-03-27 12:39:23 -0400 (Mon, 27 Mar 2023) $

  Skeleton_version :

  $Revision: 9858 $

  Skymap_avgN :

  1

  Source_name :

  MMS1>MMS Satellite Number 1

  Spacecraft_attitude_filenames :

  MMS1_DEFATT_2015289_2015289.V00

  Spacecraft_potential_filenames :

  mms1_edp_fast_l2_scpot_20151016000000_v2.7.0.cdf mms1_edp_fast_l2_scpot_20151017000000_v2.7.0.cdf

  Spacecraft_potential_offset :

  0.0

  Spacecraft_potential_scaling_factor :

  1.0

  TEXT :

  FPI usually operates in Fast Survey (FS) Mode in the MMS Region Of Interest (ROI) for the current Mission Phase. Data are taken at burst (30/150 ms for DES/DIS) resolution in this mode. Data are also made available at survey (4.5 s) resolution. Per mission design, not all burst-resolution data are downlinked, but all survey data are downlinked. Planning around calibration activities, avoidance of Earth radiation belts, etc, when possible, FPI usually operates in Slow Survey (SS) Mode (60 s resolution) outside of ROI. This moments product contains results from integrating the standard moments of phase-space distributions formed from the indicated data type (DES/DIS burst, FS or SS). For convenience, some additional parameters are included to augment those most commonly found in a moments product of this sort, plus time-stamps and other annotation characterizing the state of the instrument system at the indicated time.

  Time_resolution :

  4.5 seconds

  Upper_energy_integration_limit :

  30000.00eV

  cdf_file_name :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0.cdf

  data_level :

  l2

  data_rate :

  fast

  data_type :

  dis-moms

  full_path :

  data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_08_00_00

  instrument :

  fpi

  local_path :

  mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_08_00_00

  modified_date :

  2023-08-08T06:06:43

  probe :

  mms1

  size :

  2.240963 MB

  species :

  ion

  start_time :

  2015-10-16T08:00:03.908768999

  stop_time :

  2015-10-16T09:59:59.457722999

  timestamp :

  2015_10_16_08_00_00

  version :

  3.4.0

and heavy-ion moments from the Hot Plasma Composition Analyzer (HPCA):

hpca = mms.load(instrument="hpca", data_rate="srvy", data_type="moments")
hpca

26-Mar-20 03:51:08 [INFO] Query is set from 2015-10-16 08:00:00 to 2015-10-16 14:00:00.

26-Mar-20 03:51:08 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/hpca/moments/srvy/l2/zarr_2015_10_16_06_00_00.

26-Mar-20 03:51:08 [INFO] Synchronized remote file mms1_hpca_srvy_l2_moments_20151016060000_v4.1.0.cdf to local file zarr_2015_10_16_06_00_00.

26-Mar-20 03:51:09 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/hpca/moments/srvy/l2/zarr_2015_10_16_12_00_00.

26-Mar-20 03:51:09 [INFO] Synchronized remote file mms1_hpca_srvy_l2_moments_20151016120000_v4.1.0.cdf to local file zarr_2015_10_16_12_00_00.

26-Mar-20 03:51:09 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/hpca/moments/srvy/l2/zarr_2015_10_16_18_01_00.

26-Mar-20 03:51:10 [INFO] Synchronized remote file mms1_hpca_srvy_l2_moments_20151016180100_v4.1.0.cdf to local file zarr_2015_10_16_18_01_00.

26-Mar-20 03:51:10 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/hpca/moments/srvy/l2/zarr_2015_10_16_21_17_00.

26-Mar-20 03:51:10 [INFO] Synchronized remote file mms1_hpca_srvy_l2_moments_20151016211700_v4.1.0.cdf to local file zarr_2015_10_16_21_17_00.

26-Mar-20 03:51:10 [INFO] Synchronized remote store mms1/hpca/srvy/l2/moments to local store local/mms1/hpca/moments/srvy/l2.

<xarray.Dataset> Size: 3MB
Dimensions:                           (time: 2159, rank_1: 3, rank_2: 6,
                                       energy_channel: 63)
Coordinates:
  * time                              (time) datetime64[ns] 17kB 2015-10-16T0...
  * rank_1                            (rank_1) <U3 36B 'x' 'y' 'z'
  * rank_2                            (rank_2) <U2 48B 'xx' 'yy' ... 'xz' 'yz'
  * energy_channel                    (energy_channel) int8 63B 0 1 2 ... 61 62
Data variables: (12/58)
    B_GSE_spin_avg                    (time, rank_1) float32 26kB [nT] dask.a...
    B_GSM_spin_avg                    (time, rank_1) float32 26kB [nT] dask.a...
    Epoch_MINUS                       (time) uint32 9kB [ms] dask.array<getit...
    Epoch_PLUS                        (time) uint32 9kB [ms] dask.array<getit...
    MCP_VMON_MIN_converted            (time) float64 17kB [] dask.array<getit...
    TOF_VMON_MIN_converted            (time) float64 17kB [] dask.array<getit...
    ...                                ...
    oplus_vparallel_GSM               (time, rank_1) float64 52kB [km/s] dask...
    oplus_vperp                       (time, rank_1) float64 52kB [km/s] dask...
    oplus_vperp_GSM                   (time, rank_1) float64 52kB [km/s] dask...
    science_mode                      (time) uint8 2kB [] dask.array<getitem,...
    spin_number                       (time) uint32 9kB [] dask.array<getitem...
    sweep_table_number                (time) uint8 2kB [] dask.array<getitem,...
Attributes: (12/41)
    Acknowledgement:             Confer with PI for rules of acknowledgement
    Command_Line_Parameters:     --excel-decimation 4
    Data_Quality_Key:            ['0: Bad', '1: Good', '2: Good, RF on, Bkgd ...
    Data_type:                   srvy_l2_moments
    Descriptor:                  HPCA> Hot Plasma Composition Analyzer
    Discipline:                  Space Physics>Magnetospheric Science
    ...                          ...
    size:                        2.5788469999999997 MB
    species:                     ion
    start_time:                  2015-10-16T06:00:06.927817999
    stop_time:                   2015-10-16T11:59:46.544904999
    timestamp:                   2015_10_16_06_00_00
    version:                     4.1.0

xarray.Dataset

• Dimensions:
  • time: 2159
  • rank_1: 3
  • rank_2: 6
  • energy_channel: 63
• Coordinates: (4)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:06.793591999 .....

    CATDESC :

    Centered timestamps

    DELTA_MINUS_VAR :

    Epoch_MINUS

    DELTA_PLUS_VAR :

    Epoch_PLUS

    MONOTON :

    INCREASING

    TIME_ATTRS :

    ['VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2100-01-01T00:00:00.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:06.793591999', '2015-10-16T08:00:16.793412999',
           '2015-10-16T08:00:26.793232999', ..., '2015-10-16T13:59:36.424882999',
           '2015-10-16T13:59:46.424702999', '2015-10-16T13:59:56.424552999'],
          shape=(2159,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U3
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U3')

  • rank_2
    (rank_2)
    <U2
    'xx' 'yy' 'zz' 'xy' 'xz' 'yz'

    array(['xx', 'yy', 'zz', 'xy', 'xz', 'yz'], dtype='<U2')

  • energy_channel
    (energy_channel)
    int8
    0 1 2 3 4 5 6 ... 57 58 59 60 61 62

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
           36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
           54, 55, 56, 57, 58, 59, 60, 61, 62], dtype=int8)

• Data variables: (58)
  • B_GSE_spin_avg
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    ADDDESC :

    Refer to variable mms1_afg_srvy_l2pre_dmpa in file mms1_afg_srvy_l2pre_20151016_v5.18.0.cdf for a complete description

    CATDESC :

    Magnetic field vector in DMPA plus Btotal (8 or 16 S/s) for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DMPA

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    17000.0

    VALIDMIN :

    -17000.0

    long_name :

    B (DMPA)

    standard_name :

    Magnetic field vector in DMPA plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 25.30 kiB 5.62 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • B_GSM_spin_avg
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    ADDDESC :

    Refer to variable mms1_afg_srvy_l2pre_gsm in file mms1_afg_srvy_l2pre_20151016_v5.18.0.cdf for a complete description

    CATDESC :

    Magnetic field vector in GSM plus Btotal (8 or 16 S/s) for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSM

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    17000.0

    VALIDMIN :

    -17000.0

    long_name :

    B (GSM)

    standard_name :

    Magnetic field vector in GSM plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 25.30 kiB 5.62 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • Epoch_MINUS
    (time)
    uint32
    [ms] dask.array<getitem, shape=(...

    CATDESC :

    Delta start time for the record from the central time

    VALIDMAX :

    70000

    VALIDMIN :

    0

    standard_name :

    Delta start time

    Magnitude	Array Chunk Bytes 8.43 kiB 5.62 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type uint32 numpy.ndarray
    Units	millisecond

  • Epoch_PLUS
    (time)
    uint32
    [ms] dask.array<getitem, shape=(...

    CATDESC :

    Delta stop time for the record from the central time

    VALIDMAX :

    70000

    VALIDMIN :

    0

    standard_name :

    Delta stop time

    Magnitude	Array Chunk Bytes 8.43 kiB 5.62 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type uint32 numpy.ndarray
    Units	millisecond

  • MCP_VMON_MIN_converted
    (time)
    float64
    [] dask.array<getitem, shape=(21...

    CATDESC :

    LIMITS -

    COORDINATE_SYSTEM :

    BCS

    FILLVAL :

    1e+31

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    0.0

    long_name :

    standard_name :

    MCP_VMON_MIN

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • TOF_VMON_MIN_converted
    (time)
    float64
    [] dask.array<getitem, shape=(21...

    CATDESC :

    LIMITS -

    COORDINATE_SYSTEM :

    BCS

    FILLVAL :

    1e+31

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    0.0

    long_name :

    standard_name :

    TOF_VMON_MIN

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • heplus_ion_bulk_velocity
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Ion Bulk Velocity Helium+ for each HPCA half-spin (x, y, z)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    BulkV_He+

    standard_name :

    Ion Bulk Velocity Helium+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplus_ion_bulk_velocity_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Bulk Velocity in GSM for He+ for each HPCA half-spin (x, y, z)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    BulkV_He+ (GSM)

    standard_name :

    Bulk Velocity in GSM for He+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplus_ion_pressure
    (time, rank_2)
    float64
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    Ion Pressure Tensor Helium+ for each HPCA half-spin (xx,yx,zx,xy,yy,zy,xz,yz,zz)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    REPRESENTATION_2 :

    x,y,z

    TENSOR_ORDER :

    2

    VALIDMAX :

    6.409

    VALIDMIN :

    0.0001602

    long_name :

    p_He+

    standard_name :

    Ion Pressure Tensor Helium+

    Magnitude	Array Chunk Bytes 101.20 kiB 11.24 kiB Shape (2159, 6) (1439, 1) Dask graph 12 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	nanopascal

  • heplus_number_density
    (time)
    float64
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    Number Density Helium+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    1000.0

    VALIDMIN :

    0.0

    long_name :

    N_He+

    standard_name :

    Number Density Helium+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	1/centimeter3

  • heplus_scalar_temperature
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Scalar Temperature Helium+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    t_He+

    standard_name :

    Scalar Temperature Helium+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • heplus_temperature_tensor
    (time, rank_2)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Ion Temp. Tensor Helium+ for each HPCA half-spin (xx,yx,zx,xy,yy,zy,xz,yz,zz)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    REPRESENTATION_2 :

    x,y,z

    TENSOR_ORDER :

    2

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    T_He+

    standard_name :

    Ion Temp. Tensor Helium+

    Magnitude	Array Chunk Bytes 101.20 kiB 11.24 kiB Shape (2159, 6) (1439, 1) Dask graph 12 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • heplus_tparallel
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Tparallel He+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    t||_He+

    standard_name :

    Tparallel He+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • heplus_tperp
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Tperp He+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    tPerp_He+

    standard_name :

    Tperp He+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • heplus_vparallel
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vparallel vector plus Magnitude for He+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    V||_He+

    standard_name :

    Vparallel vector plus Magnitude for He+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplus_vparallel_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vparallel vector plus Magnitude in GSM for He+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    V||_He+ (GSM)

    standard_name :

    Vparallel vector plus Magnitude in GSM for He+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplus_vperp
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vperp vector plus Magnitude for He+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    Vperp_He+

    standard_name :

    Vperp vector plus Magnitude for He+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplus_vperp_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vperp vector plus Magnitude in GSM for He+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    Vperp_He+ (GSM)

    standard_name :

    Vperp vector plus Magnitude in GSM for He+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplusplus_ion_bulk_velocity
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Ion Bulk Velocity Helium++ for each HPCA half-spin (x, y, z)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    BulkV_He++

    standard_name :

    Ion Bulk Velocity Helium++

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplusplus_ion_bulk_velocity_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Bulk Velocity in GSM for He++ for each HPCA half-spin (x, y, z)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    BulkV_He++ (GSM)

    standard_name :

    Bulk Velocity in GSM for He++

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplusplus_ion_pressure
    (time, rank_2)
    float64
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    Ion Pressure Tensor Helium++ for each HPCA half-spin (xx,yx,zx,xy,yy,zy,xz,yz,zz)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    REPRESENTATION_2 :

    x,y,z

    TENSOR_ORDER :

    2

    VALIDMAX :

    6.409

    VALIDMIN :

    0.0001602

    long_name :

    p_He++

    standard_name :

    Ion Pressure Tensor Helium++

    Magnitude	Array Chunk Bytes 101.20 kiB 11.24 kiB Shape (2159, 6) (1439, 1) Dask graph 12 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	nanopascal

  • heplusplus_number_density
    (time)
    float64
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    Number Density Helium++ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    1000.0

    VALIDMIN :

    0.0

    long_name :

    N_He++

    standard_name :

    Number Density Helium++

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	1/centimeter3

  • heplusplus_scalar_temperature
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Scalar Temperature Helium++ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    t_He++

    standard_name :

    Scalar Temperature Helium++

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • heplusplus_temperature_tensor
    (time, rank_2)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Ion Temp. Tensor Helium++ for each HPCA half-spin (xx,yx,zx,xy,yy,zy,xz,yz,zz)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    REPRESENTATION_2 :

    x,y,z

    TENSOR_ORDER :

    2

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    T_He++

    standard_name :

    Ion Temp. Tensor Helium++

    Magnitude	Array Chunk Bytes 101.20 kiB 11.24 kiB Shape (2159, 6) (1439, 1) Dask graph 12 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • heplusplus_tparallel
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Tparallel He++ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    t||_He++

    standard_name :

    Tparallel He++

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • heplusplus_tperp
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Tperp He++ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    tPerp_He++

    standard_name :

    Tperp He++

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • heplusplus_vparallel
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vparallel vector plus Magnitude for He++ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    V||_He++

    standard_name :

    Vparallel vector plus Magnitude for He++

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplusplus_vparallel_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vparallel vector plus Magnitude in GSM for He++ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    V||_He++ (GSM)

    standard_name :

    Vparallel vector plus Magnitude in GSM for He++

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplusplus_vperp
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vperp vector plus Magnitude for He++ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    Vperp_He++

    standard_name :

    Vperp vector plus Magnitude for He++

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • heplusplus_vperp_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vperp vector plus Magnitude in GSM for He++ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    Vperp_He++ (GSM)

    standard_name :

    Vperp vector plus Magnitude in GSM for He++

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • hplus_ion_bulk_velocity
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Ion Bulk Velocity Hydrogen+ for each HPCA half-spin (x, y, z)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    BulkV_H+

    standard_name :

    Ion Bulk Velocity Hydrogen+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • hplus_ion_bulk_velocity_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Bulk Velocity in GSM for H+ for each HPCA half-spin (x, y, z)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    BulkV_H+ (GSM)

    standard_name :

    Bulk Velocity in GSM for H+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • hplus_ion_pressure
    (time, rank_2)
    float64
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    Ion Pressure Tensor Hydrogen+ for each HPCA half-spin (xx,yx,zx,xy,yy,zy,xz,yz,zz)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    REPRESENTATION_2 :

    x,y,z

    TENSOR_ORDER :

    2

    VALIDMAX :

    6.409

    VALIDMIN :

    0.0001602

    long_name :

    p_H+

    standard_name :

    Ion Pressure Tensor Hydrogen+

    Magnitude	Array Chunk Bytes 101.20 kiB 11.24 kiB Shape (2159, 6) (1439, 1) Dask graph 12 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	nanopascal

  • hplus_number_density
    (time)
    float64
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    Number Density Hydrogen+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    1000.0

    VALIDMIN :

    0.0

    long_name :

    N_H+

    standard_name :

    Number Density Hydrogen+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	1/centimeter3

  • hplus_scalar_temperature
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Scalar Temperature Hydrogen+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    t_H+

    standard_name :

    Scalar Temperature Hydrogen+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • hplus_temperature_tensor
    (time, rank_2)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Ion Temp. Tensor Hydrogen+ for each HPCA half-spin (xx,yx,zx,xy,yy,zy,xz,yz,zz)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    REPRESENTATION_2 :

    x,y,z

    TENSOR_ORDER :

    2

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    T_H+

    standard_name :

    Ion Temp. Tensor Hydrogen+

    Magnitude	Array Chunk Bytes 101.20 kiB 11.24 kiB Shape (2159, 6) (1439, 1) Dask graph 12 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • hplus_tparallel
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Tparallel H+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    t||_H+

    standard_name :

    Tparallel H+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • hplus_tperp
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Tperp H+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    tPerp_H+

    standard_name :

    Tperp H+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • hplus_vparallel
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vparallel vector plus Magnitude for H+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    V||_H+

    standard_name :

    Vparallel vector plus Magnitude for H+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • hplus_vparallel_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vparallel vector plus Magnitude in GSM for H+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    V||_H+ (GSM)

    standard_name :

    Vparallel vector plus Magnitude in GSM for H+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • hplus_vperp
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vperp vector plus Magnitude for H+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    Vperp_H+

    standard_name :

    Vperp vector plus Magnitude for H+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • hplus_vperp_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vperp vector plus Magnitude in GSM for H+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    Vperp_H+ (GSM)

    standard_name :

    Vperp vector plus Magnitude in GSM for H+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • ion_energy
    (time, energy_channel)
    float32
    [eV/C] dask.array<getitem, shape...

    CATDESC :

    MMS1 HPCA: Electron Voltage associated with the ion counts.

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    VALIDMAX :

    37600.0

    VALIDMIN :

    0.0

    standard_name :

    Electron Volts

    Magnitude	Array Chunk Bytes 531.32 kiB 354.13 kiB Shape (2159, 63) (1439, 63) Dask graph 2 chunks in 10 graph layers Data type float32 numpy.ndarray
    Units	electron_volt/coulomb

  • oplus_ion_bulk_velocity
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Ion Bulk Velocity Oxygen+ for each HPCA half-spin (x, y, z)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    BulkV_O+

    standard_name :

    Ion Bulk Velocity Oxygen+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • oplus_ion_bulk_velocity_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Bulk Velocity in GSM for O+ for each HPCA half-spin (x, y, z)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    BulkV_O+ (GSM)

    standard_name :

    Bulk Velocity in GSM for O+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • oplus_ion_pressure
    (time, rank_2)
    float64
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    Ion Pressure Tensor Oxygen+ for each HPCA half-spin (xx,yx,zx,xy,yy,zy,xz,yz,zz)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    REPRESENTATION_2 :

    x,y,z

    TENSOR_ORDER :

    2

    VALIDMAX :

    6.409

    VALIDMIN :

    0.0001602

    long_name :

    p_O+

    standard_name :

    Ion Pressure Tensor Oxygen+

    Magnitude	Array Chunk Bytes 101.20 kiB 11.24 kiB Shape (2159, 6) (1439, 1) Dask graph 12 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	nanopascal

  • oplus_number_density
    (time)
    float64
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    Number Density Oxygen+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    1000.0

    VALIDMIN :

    0.0

    long_name :

    N_O+

    standard_name :

    Number Density Oxygen+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	1/centimeter3

  • oplus_scalar_temperature
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Scalar Temperature Oxygen+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    t_O+

    standard_name :

    Scalar Temperature Oxygen+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • oplus_temperature_tensor
    (time, rank_2)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Ion Temp. Tensor Oxygen+ for each HPCA half-spin (xx,yx,zx,xy,yy,zy,xz,yz,zz)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    REPRESENTATION_2 :

    x,y,z

    TENSOR_ORDER :

    2

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    T_O+

    standard_name :

    Ion Temp. Tensor Oxygen+

    Magnitude	Array Chunk Bytes 101.20 kiB 11.24 kiB Shape (2159, 6) (1439, 1) Dask graph 12 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • oplus_tparallel
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Tparallel O+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    t||_O+

    standard_name :

    Tparallel O+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • oplus_tperp
    (time)
    float64
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    Tperp O+ for each HPCA half-spin

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    VALIDMAX :

    60000.0

    VALIDMIN :

    1.5

    long_name :

    tPerp_O+

    standard_name :

    Tperp O+

    Magnitude	Array Chunk Bytes 16.87 kiB 11.24 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	electron_volt

  • oplus_vparallel
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vparallel vector plus Magnitude for O+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    V||_O+

    standard_name :

    Vparallel vector plus Magnitude for O+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • oplus_vparallel_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vparallel vector plus Magnitude in GSM for O+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    V||_O+ (GSM)

    standard_name :

    Vparallel vector plus Magnitude in GSM for O+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • oplus_vperp
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vperp vector plus Magnitude for O+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    Vperp_O+

    standard_name :

    Vperp vector plus Magnitude for O+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • oplus_vperp_GSM
    (time, rank_1)
    float64
    [km/s] dask.array<getitem, shape...

    CATDESC :

    Vperp vector plus Magnitude in GSM for O+ for each HPCA half-spin (x, y, z, total)

    CDF_DATA_TYPE :

    CDF_REAL8

    COORDINATE_SYSTEM :

    DBCS

    FILLVAL :

    -1e+31

    TENSOR_ORDER :

    1

    VALIDMAX :

    2800.0

    VALIDMIN :

    -2800.0

    long_name :

    Vperp_O+ (GSM)

    standard_name :

    Vperp vector plus Magnitude in GSM for O+

    Magnitude	Array Chunk Bytes 50.60 kiB 11.24 kiB Shape (2159, 3) (1439, 1) Dask graph 6 chunks in 8 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • science_mode
    (time)
    uint8
    [] dask.array<getitem, shape=(21...

    CATDESC :

    Science Mode Value as defined in the HPCA Science Algorithm Document

    FILLVAL :

    255

    VALIDMAX :

    15

    VALIDMIN :

    0

    standard_name :

    Science Mode Number

    Magnitude	Array Chunk Bytes 2.11 kiB 1.41 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type uint8 numpy.ndarray
    Units	dimensionless

  • spin_number
    (time)
    uint32
    [] dask.array<getitem, shape=(21...

    CATDESC :

    Spin Number for each HPCA half-spin

    COORDINATE_SYSTEM :

    BCS

    FILLVAL :

    0

    VALIDMAX :

    2500

    VALIDMIN :

    1

    long_name :

    Spin No.

    standard_name :

    Spin Number

    Magnitude	Array Chunk Bytes 8.43 kiB 5.62 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • sweep_table_number
    (time)
    uint8
    [] dask.array<getitem, shape=(21...

    CATDESC :

    Sweep Table Index as defined in the HPCA Science Algorithm Document

    FILLVAL :

    255

    VALIDMAX :

    15

    VALIDMIN :

    0

    standard_name :

    Sweep Table Number

    Magnitude	Array Chunk Bytes 2.11 kiB 1.41 kiB Shape (2159,) (1439,) Dask graph 2 chunks in 8 graph layers Data type uint8 numpy.ndarray
    Units	dimensionless

• Attributes: (41)

  Acknowledgement :

  Confer with PI for rules of acknowledgement

  Command_Line_Parameters :

  --excel-decimation 4

  Data_Quality_Key :

  ['0: Bad', '1: Good', '2: Good, RF on, Bkgd on', '3: Good, RF off, Bkgd on', '4: Good, RF on, Bkgd off', '5: Good, RF off, Bkgd off', '6: Good, Non-sweeping data']

  Data_type :

  srvy_l2_moments

  Descriptor :

  HPCA> Hot Plasma Composition Analyzer

  Discipline :

  Space Physics>Magnetospheric Science

  Generated_by :

  hpcasvr - SwRI

  Generation_date :

  20180618

  HTTP_LINK :

  http://hpca.space.swri.edu

  Instrument_type :

  Particles (space)

  LINK_TEXT :

  TBD for Level 2 Moments

  LINK_TITLE :

  MMS1 Level 2 Moments

  Logical_file_id :

  mms1_hpca_srvy_l2_moments_20151016060000

  Logical_source :

  mms1_hpca_srvy_l2_moments

  Logical_source_description :

  Level 2 Moments> Hot Plasma Composition Analyzer

  MODS :

  Initial Public Release

  Mission_group :

  MMS

  PI_affiliation :

  SWRI

  PI_name :

  J. Burch, S. Fuselier

  Parents :

  ['CDF>/home/mms-repo/HPCA/archive/mms1/hpca/srvy/l1b/mms1_hpca_srvy_l1b_moments_20151016060000_v4.1.0', 'CDF>/home/mms-repo/HPCA/archive/mms1/hpca/srvy/l1a/mms1_hpca_srvy_l1a_spinangles_20151016060000_v4.1.0', 'CDF>/hds_data/mmsmirror/mms1/afg/srvy/l2pre/2015/10/mms1_afg_srvy_l2pre_20151016_v5.18.0', 'CDF>/hds_data/mmsmirror/mms1/mec/srvy/l2/epht89q/2015/10/mms1_mec_srvy_l2_epht89q_20151016_v2.0.0']

  Processing Code Revision :

  1625M

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  PI determined

  Source_name :

  MMS1>MMS Satellite Number 1

  TEXT :

  References

  Time_resolution :

  10 seconds

  cdf_file_name :

  mms1_hpca_srvy_l2_moments_20151016060000_v4.1.0.cdf

  data_level :

  l2

  data_rate :

  srvy

  data_type :

  moments

  full_path :

  data.zarr/quick-overview/local/mms1/hpca/moments/srvy/l2/zarr_2015_10_16_06_00_00

  instrument :

  hpca

  local_path :

  mms1/hpca/moments/srvy/l2/zarr_2015_10_16_06_00_00

  modified_date :

  2018-07-08T14:27:10

  probe :

  mms1

  size :

  2.5788469999999997 MB

  species :

  ion

  start_time :

  2015-10-16T06:00:06.927817999

  stop_time :

  2015-10-16T11:59:46.544904999

  timestamp :

  2015_10_16_06_00_00

  version :

  4.1.0

FEEPS dataset

FGM, EDP, and FPI datasets are mostly simple in terms of metadata. However, FEEPS is one of more complicated cases where the variables and metadata in the CDF files can be overwhelming. mmspy provides an automatic autoformatting that turns the FEEPS dataset into a more readable form (without altering the data):

ion_feeps = mms.load(instrument="feeps", data_rate="srvy", data_type="ion")
ion_feeps

26-Mar-20 03:51:10 [INFO] Query is set from 2015-10-16 08:00:00 to 2015-10-16 14:00:00.

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:12 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:13 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/feeps/ion/srvy/l2/zarr_2015_10_16_00_00_00.

26-Mar-20 03:51:13 [INFO] Synchronized remote file mms1_feeps_srvy_l2_ion_20151016000000_v7.1.2.cdf to local file zarr_2015_10_16_00_00_00.

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:51:15 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/feeps/ion/srvy/l2/zarr_2015_10_17_00_00_00.

26-Mar-20 03:51:15 [INFO] Synchronized remote file mms1_feeps_srvy_l2_ion_20151017000000_v7.1.2.cdf to local file zarr_2015_10_17_00_00_00.

26-Mar-20 03:51:15 [INFO] Synchronized remote store mms1/feeps/srvy/l2/ion to local store local/mms1/feeps/ion/srvy/l2.

<xarray.Dataset> Size: 23MB
Dimensions:              (time: 8927, sensor: 2, eye: 3, energy_channel: 16,
                          rank_1: 3, spin_sector: 64)
Coordinates:
  * time                 (time) datetime64[ns] 71kB 2015-10-16T08:00:02.31414...
  * sensor               (sensor) <U6 48B 'bottom' 'top'
  * eye                  (eye) int64 24B 6 7 8
  * energy_channel       (energy_channel) int64 128B 0 1 2 3 4 ... 12 13 14 15
  * rank_1               (rank_1) <U1 12B 'x' 'y' 'z'
  * spin_sector          (spin_sector) int64 512B 0 1 2 3 4 5 ... 59 60 61 62 63
    energy               (sensor, eye, energy_channel) float64 768B [keV] das...
    pitch_angle          (time, sensor, eye) float32 214kB [deg] dask.array<g...
Data variables: (12/23)
    count_rate           (time, sensor, eye, energy_channel) float64 7MB [count/s] dask.array<getitem, shape=(8927, 2, 3, 16), dtype=float64, chunksize=(1302, 2, 3, 16), chunktype=numpy.nd...
    energy_lower_bound   (sensor, eye, energy_channel) float64 768B [keV] das...
    energy_upper_bound   (sensor, eye, energy_channel) float64 768B [keV] das...
    integration_sectors  (time) float64 71kB [] dask.array<getitem, shape=(89...
    intensity            (time, sensor, eye, energy_channel) float64 7MB [1/cm²/keV/s/sr] dask.array<getitem, shape=(8927, 2, 3, 16), dtype=float64, chunksize=(1302, 2, 3, 16), chunktype=n...
    l_shell              (time) float64 71kB [Re] dask.array<getitem, shape=(...
    ...                   ...
    scz_vec_gse          (time, rank_1) float64 214kB [] dask.array<getitem, ...
    sector_mask          (sensor, eye, spin_sector) float64 3kB [] dask.array...
    spin                 (time) float64 71kB [] dask.array<getitem, shape=(89...
    spin_duration        (time) float64 71kB [s] dask.array<getitem, shape=(8...
    spinsectnum          (time) int16 18kB [] dask.array<getitem, shape=(8927...
    sun_contamination    (sensor, eye, spin_sector) float64 3kB [] dask.array...
Attributes: (12/37)
    Acknowledgment:              Baker, D. 2015. MMS FEEPS Level 1B Data, V1....
    Data_Mode:                   Survey
    Data_type:                   Survey_Level 2
    Descriptor:                  FEEPS
    Developer:                   Dave Judd, James Craft, Edward Hartnett
    Discipline:                  Space Physics>Magnetospheric Science
    ...                          ...
    size:                        53.175520999999996 MB
    species:                     ion
    start_time:                  2015-10-16T00:00:00.619872000
    stop_time:                   2015-10-16T23:58:27.811855872
    timestamp:                   2015_10_16_00_00_00
    version:                     7.1.2

xarray.Dataset

• Dimensions:
  • time: 8927
  • sensor: 2
  • eye: 3
  • energy_channel: 16
  • rank_1: 3
  • spin_sector: 64
• Coordinates: (8)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:02.314144 ... 2...

    BIN_LOCATION :

    0.875

    CATDESC :

    UTC timestamp at sector center

    FILLVAL :

    ['NaT']

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2000-01-01T11:58:55.816000127']

    VALIDMIN :

    ['2000-01-01T11:58:55.816000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:02.314144000', '2015-10-16T08:00:04.733344000',
           '2015-10-16T08:00:07.152704000', ..., '2015-10-16T13:59:53.045152000',
           '2015-10-16T13:59:55.464560128', '2015-10-16T13:59:57.883968000'],
          shape=(8927,), dtype='datetime64[ns]')

  • sensor
    (sensor)
    <U6
    'bottom' 'top'

    array(['bottom', 'top'], dtype='<U6')

  • eye
    (eye)
    int64
    6 7 8

    array([6, 7, 8])

  • energy_channel
    (energy_channel)
    int64
    0 1 2 3 4 5 6 ... 10 11 12 13 14 15

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15])

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

  • spin_sector
    (spin_sector)
    int64
    0 1 2 3 4 5 6 ... 58 59 60 61 62 63

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
           36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
           54, 55, 56, 57, 58, 59, 60, 61, 62, 63])

  • energy
    (sensor, eye, energy_channel)
    float64
    [keV] dask.array<open_dataset-en...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 768 B 768 B Shape (2, 3, 16) (2, 3, 16) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	kiloelectron_volt

  • pitch_angle
    (time, sensor, eye)
    float32
    [deg] dask.array<getitem, shape=...

    CATDESC :

    The angle formed by the normal vector of the sensor plane and the magnetic field (BField)

    DEPEND_1 :

    pitch_angle_indices

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    180.0

    VALIDMIN :

    -180.0

    long_name :

    Pitch Angle

    standard_name :

    srvy_l2_ion_pitch_angle

    Magnitude	Array Chunk Bytes 209.23 kiB 209.23 kiB Shape (8927, 2, 3) (8927, 2, 3) Dask graph 1 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree

• Data variables: (23)
  • count_rate
    (time, sensor, eye, energy_channel)
    float64
    [count/s] dask.array<getitem, sh...

    FILLVAL :

    -1e+31

    SCALEMAX :

    1000.0

    SCALEMIN :

    0.0

    SCALETYP :

    log

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 6.54 MiB 0.95 MiB Shape (8927, 2, 3, 16) (1302, 2, 3, 16) Dask graph 8 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	count/second

  • energy_lower_bound
    (sensor, eye, energy_channel)
    float64
    [keV] dask.array<open_dataset-en...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 768 B 768 B Shape (2, 3, 16) (2, 3, 16) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	kiloelectron_volt

  • energy_upper_bound
    (sensor, eye, energy_channel)
    float64
    [keV] dask.array<open_dataset-en...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 768 B 768 B Shape (2, 3, 16) (2, 3, 16) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	kiloelectron_volt

  • integration_sectors
    (time)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    Indicates one of the regions of the spacecraft spin cycle

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    integration sectors

    standard_name :

    srvy_l2_ion_integration_sectors

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • intensity
    (time, sensor, eye, energy_channel)
    float64
    [1/cm²/keV/s/sr] dask.array<geti...

    FILLVAL :

    -1e+31

    SCALEMAX :

    1000.0

    SCALEMIN :

    0.0

    SCALETYP :

    log

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 6.54 MiB 0.95 MiB Shape (8927, 2, 3, 16) (1302, 2, 3, 16) Dask graph 8 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	1/(centimeter2 kiloelectron_volt second steradian)

  • l_shell
    (time)
    float64
    [Re] dask.array<getitem, shape=(...

    CATDESC :

    Dipole L shell in Earth radii determined using GSM latitude

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    dipole L shell

    standard_name :

    srvy_l2_ion_l_shell

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	ronnaelementary_charge

  • lat_gse
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Latitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Latitude

    standard_name :

    srvy_l2_ion_lat_gse

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • lat_gsm
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Latitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Latitude

    standard_name :

    srvy_l2_ion_lat_gsm

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • lon_gse
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Longitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Longitude

    standard_name :

    srvy_l2_ion_lon_gse

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • lon_gsm
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Longitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Longitude

    standard_name :

    srvy_l2_ion_lon_gsm

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • moon_position_gse
    (time, rank_1)
    float64
    [km] dask.array<getitem, shape=(...

    CATDESC :

    The position of the moon in GSE coordinates

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Moon Position

    standard_name :

    srvy_l2_ion_moon_position_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	kilometer

  • percent_error
    (time, sensor, eye, energy_channel)
    float64
    [%] dask.array<getitem, shape=(8...

    FILLVAL :

    -1e+31

    SCALEMAX :

    1000.0

    SCALEMIN :

    0.0

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 6.54 MiB 0.95 MiB Shape (8927, 2, 3, 16) (1302, 2, 3, 16) Dask graph 8 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	percent

  • quality_indicator
    (time, sensor, eye)
    float64
    [] dask.array<getitem, shape=(89...

    FILLVAL :

    -2147483648

    SCALETYP :

    linear

    VALIDMAX :

    3

    VALIDMIN :

    0

    Magnitude	Array Chunk Bytes 418.45 kiB 418.45 kiB Shape (8927, 2, 3) (8927, 2, 3) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • radius
    (time)
    float64
    [Re] dask.array<getitem, shape=(...

    CATDESC :

    Radial distance in Earth radii

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    radial distance

    standard_name :

    srvy_l2_ion_radius

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	ronnaelementary_charge

  • scpos_ec_gse
    (time, rank_1)
    float64
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Spacecraft position in Earth-centered geocentric solar ecliptic coordinates

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Spacecraft Position (GSE)

    standard_name :

    srvy_l2_ion_scpos_ec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	kilometer

  • scx_vec_gse
    (time, rank_1)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    the spacecraft X axis unit vector in Earth-fixed geocentric coordinates.

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    X

    standard_name :

    srvy_l2_ion_scx_vec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • scy_vec_gse
    (time, rank_1)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    the spacecraft Y axis unit vector in Earth-fixed geocentric coordinates.t

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Y

    standard_name :

    srvy_l2_ion_scy_vec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • scz_vec_gse
    (time, rank_1)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    the spacecraft Z axis unit vector in Earth-fixed geocentric coordinates.

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Z

    standard_name :

    srvy_l2_ion_scz_vec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • sector_mask
    (sensor, eye, spin_sector)
    float64
    [] dask.array<open_dataset-secto...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 3.00 kiB 3.00 kiB Shape (2, 3, 64) (2, 3, 64) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • spin
    (time)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    The number of spacecraft rotations

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Spacecraft rotations

    standard_name :

    srvy_l2_ion_spin

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • spin_duration
    (time)
    float64
    [s] dask.array<getitem, shape=(8...

    CATDESC :

    The time span during which the spacecraft spins 1 revolution

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    SPIN_DURATION

    standard_name :

    srvy_l2_ion_spin_duration

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	second

  • spinsectnum
    (time)
    int16
    [] dask.array<getitem, shape=(89...

    CATDESC :

    Spin sector in which the spacecraft was oriented during data acquisition

    FILLVAL :

    -32768

    SCALETYP :

    linear

    VALIDMAX :

    32767

    VALIDMIN :

    0

    long_name :

    spin sector

    standard_name :

    srvy_l2_ion_spinsectnum

    Magnitude	Array Chunk Bytes 17.44 kiB 17.44 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type int16 numpy.ndarray
    Units	dimensionless

  • sun_contamination
    (sensor, eye, spin_sector)
    float64
    [] dask.array<open_dataset-sun_c...

    FILLVAL :

    -2147483648

    SCALETYP :

    linear

    VALIDMAX :

    2147483647

    VALIDMIN :

    -2147483648

    Magnitude	Array Chunk Bytes 3.00 kiB 3.00 kiB Shape (2, 3, 64) (2, 3, 64) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

• Attributes: (37)

  Acknowledgment :

  Baker, D. 2015. MMS FEEPS Level 1B Data, V1., Data Systems Group, LASP

  Data_Mode :

  Survey

  Data_type :

  Survey_Level 2

  Descriptor :

  FEEPS

  Developer :

  Dave Judd, James Craft, Edward Hartnett

  Discipline :

  Space Physics>Magnetospheric Science

  Generated_by :

  Data Systems Group at LASP

  Generation_date :

  20220913

  HTTP_LINK :

  http://www.lasp.colorado.edu

  Instrument_type :

  Particles (space)

  LINK_TEXT :

  FEEPS data

  LINK_TITLE :

  http://www.lasp.colorado.edu

  Logical_file_id :

  mms1_feeps_survey_level 2_20151016_v7.1.2

  Logical_source :

  mms1_feeps_srvy_l1B

  Logical_source_description :

  Level 2 Flys Eye Energetic Particle Sensor Survey Data

  MODS :

  Generated at LASP

  Mission_group :

  MMS

  PI_affiliation :

  LASP

  PI_name :

  STP

  Project :

  STP

  Source_name :

  mms1

  TEXT :

  http://www.lasp.colorado.edu

  cdf_file_name :

  mms1_feeps_srvy_l2_ion_20151016000000_v7.1.2.cdf

  data_level :

  l2

  data_rate :

  srvy

  data_type :

  ion

  full_path :

  data.zarr/quick-overview/local/mms1/feeps/ion/srvy/l2/zarr_2015_10_16_00_00_00

  instrument :

  feeps

  local_path :

  mms1/feeps/ion/srvy/l2/zarr_2015_10_16_00_00_00

  modified_date :

  2022-09-13T23:35:04

  probe :

  mms1

  size :

  53.175520999999996 MB

  species :

  ion

  start_time :

  2015-10-16T00:00:00.619872000

  stop_time :

  2015-10-16T23:58:27.811855872

  timestamp :

  2015_10_16_00_00_00

  version :

  7.1.2

Masking flagged data

Data from the level-2 CDF files are not fault-free, and many instruments have caveats that one should read about in the product guides before using the data. For convenience, mmspy provides instrument-specific xarray accessors (fgm, edp, fpi, feeps) that allows for automatic data masking in accordance with the Calibration and Measurement Algorithms document (CMAD) and in consistency with PySPEDAS. The FEEPS masking is the most complicated, which uses multiple time-dependent and time-independent energy tables. Simply call the following and bad eyes will be set to NaN:

ion_feeps = ion_feeps.feeps.mask_data()
ion_feeps

<xarray.Dataset> Size: 20MB
Dimensions:              (time: 8927, sensor: 2, eye: 3, energy_channel: 14,
                          rank_1: 3, spin_sector: 64)
Coordinates:
  * time                 (time) datetime64[ns] 71kB 2015-10-16T08:00:02.31414...
  * sensor               (sensor) <U6 48B 'bottom' 'top'
  * eye                  (eye) int64 24B 6 7 8
  * energy_channel       (energy_channel) int64 112B 1 2 3 4 5 ... 11 12 13 14
  * rank_1               (rank_1) <U1 12B 'x' 'y' 'z'
  * spin_sector          (spin_sector) int64 512B 0 1 2 3 4 5 ... 59 60 61 62 63
    energy               (eye, energy_channel, sensor) float64 672B [keV] 76....
    pitch_angle          (time, sensor, eye) float32 214kB [deg] dask.array<g...
Data variables: (12/23)
    count_rate           (time, sensor, eye, energy_channel) float64 6MB [count/s] dask.array<getitem, shape=(8927, 2, 3, 14), dtype=float64, chunksize=(1302, 2, 3, 14), chunktype=numpy.nd...
    energy_lower_bound   (sensor, eye, energy_channel) float64 672B [keV] das...
    energy_upper_bound   (sensor, eye, energy_channel) float64 672B [keV] das...
    integration_sectors  (time) float64 71kB [] dask.array<getitem, shape=(89...
    intensity            (time, sensor, eye, energy_channel) float64 6MB [1/cm²/keV/s/sr] dask.array<getitem, shape=(8927, 2, 3, 14), dtype=float64, chunksize=(1302, 2, 3, 14), chunktype=n...
    l_shell              (time) float64 71kB [Re] dask.array<getitem, shape=(...
    ...                   ...
    scz_vec_gse          (time, rank_1) float64 214kB [] dask.array<getitem, ...
    sector_mask          (sensor, eye, spin_sector) float64 3kB [] dask.array...
    spin                 (time) float64 71kB [] dask.array<getitem, shape=(89...
    spin_duration        (time) float64 71kB [s] dask.array<getitem, shape=(8...
    spinsectnum          (time) int16 18kB [] dask.array<getitem, shape=(8927...
    sun_contamination    (sensor, eye, spin_sector) float64 3kB [] dask.array...
Attributes: (12/37)
    Acknowledgment:              Baker, D. 2015. MMS FEEPS Level 1B Data, V1....
    Data_Mode:                   Survey
    Data_type:                   Survey_Level 2
    Descriptor:                  FEEPS
    Developer:                   Dave Judd, James Craft, Edward Hartnett
    Discipline:                  Space Physics>Magnetospheric Science
    ...                          ...
    size:                        53.175520999999996 MB
    species:                     ion
    start_time:                  2015-10-16T00:00:00.619872000
    stop_time:                   2015-10-16T23:58:27.811855872
    timestamp:                   2015_10_16_00_00_00
    version:                     7.1.2

xarray.Dataset

• Dimensions:
  • time: 8927
  • sensor: 2
  • eye: 3
  • energy_channel: 14
  • rank_1: 3
  • spin_sector: 64
• Coordinates: (8)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:02.314144 ... 2...

    BIN_LOCATION :

    0.875

    CATDESC :

    UTC timestamp at sector center

    FILLVAL :

    ['NaT']

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2000-01-01T11:58:55.816000127']

    VALIDMIN :

    ['2000-01-01T11:58:55.816000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:02.314144000', '2015-10-16T08:00:04.733344000',
           '2015-10-16T08:00:07.152704000', ..., '2015-10-16T13:59:53.045152000',
           '2015-10-16T13:59:55.464560128', '2015-10-16T13:59:57.883968000'],
          shape=(8927,), dtype='datetime64[ns]')

  • sensor
    (sensor)
    <U6
    'bottom' 'top'

    array(['bottom', 'top'], dtype='<U6')

  • eye
    (eye)
    int64
    6 7 8

    array([6, 7, 8])

  • energy_channel
    (energy_channel)
    int64
    1 2 3 4 5 6 7 8 9 10 11 12 13 14

    array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14])

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

  • spin_sector
    (spin_sector)
    int64
    0 1 2 3 4 5 6 ... 58 59 60 61 62 63

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
           36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
           54, 55, 56, 57, 58, 59, 60, 61, 62, 63])

  • energy
    (eye, energy_channel, sensor)
    float64
    [keV] 76.8 76.8 ... 558.6 558.6

    description :

    Energy table defined in mms/feeps/mms_feeps_energy_table.pro

    Magnitude

    [[[76.8 76.8] [95.4 95.4] [114.1 114.1] [133.0 133.0] [153.7 153.7] [177.6 177.6] [205.1 205.1] [236.7 236.7] [273.2 273.2] [315.4 315.4] [363.8 363.8] [419.7 419.7] [484.2 484.2] [558.6 558.6]] [[76.8 76.8] [95.4 95.4] [114.1 114.1] [133.0 133.0] [153.7 153.7] [177.6 177.6] [205.1 205.1] [236.7 236.7] [273.2 273.2] [315.4 315.4] [363.8 363.8] [419.7 419.7] [484.2 484.2] [558.6 558.6]] [[76.8 76.8] [95.4 95.4] [114.1 114.1] [133.0 133.0] [153.7 153.7] [177.6 177.6] [205.1 205.1] [236.7 236.7] [273.2 273.2] [315.4 315.4] [363.8 363.8] [419.7 419.7] [484.2 484.2] [558.6 558.6]]]

    Units

    kiloelectron_volt

  • pitch_angle
    (time, sensor, eye)
    float32
    [deg] dask.array<getitem, shape=...

    CATDESC :

    The angle formed by the normal vector of the sensor plane and the magnetic field (BField)

    DEPEND_1 :

    pitch_angle_indices

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    180.0

    VALIDMIN :

    -180.0

    long_name :

    Pitch Angle

    standard_name :

    srvy_l2_ion_pitch_angle

    Magnitude	Array Chunk Bytes 209.23 kiB 209.23 kiB Shape (8927, 2, 3) (8927, 2, 3) Dask graph 1 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree

• Data variables: (23)
  • count_rate
    (time, sensor, eye, energy_channel)
    float64
    [count/s] dask.array<getitem, sh...

    FILLVAL :

    -1e+31

    SCALEMAX :

    1000.0

    SCALEMIN :

    0.0

    SCALETYP :

    log

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 5.72 MiB 854.44 kiB Shape (8927, 2, 3, 14) (1302, 2, 3, 14) Dask graph 8 chunks in 6 graph layers Data type float64 numpy.ndarray
    Units	count/second

  • energy_lower_bound
    (sensor, eye, energy_channel)
    float64
    [keV] dask.array<getitem, shape=...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 672 B 672 B Shape (2, 3, 14) (2, 3, 14) Dask graph 1 chunks in 3 graph layers Data type float64 numpy.ndarray
    Units	kiloelectron_volt

  • energy_upper_bound
    (sensor, eye, energy_channel)
    float64
    [keV] dask.array<getitem, shape=...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 672 B 672 B Shape (2, 3, 14) (2, 3, 14) Dask graph 1 chunks in 3 graph layers Data type float64 numpy.ndarray
    Units	kiloelectron_volt

  • integration_sectors
    (time)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    Indicates one of the regions of the spacecraft spin cycle

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    integration sectors

    standard_name :

    srvy_l2_ion_integration_sectors

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • intensity
    (time, sensor, eye, energy_channel)
    float64
    [1/cm²/keV/s/sr] dask.array<geti...

    FILLVAL :

    -1e+31

    SCALEMAX :

    1000.0

    SCALEMIN :

    0.0

    SCALETYP :

    log

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 5.72 MiB 854.44 kiB Shape (8927, 2, 3, 14) (1302, 2, 3, 14) Dask graph 8 chunks in 6 graph layers Data type float64 numpy.ndarray
    Units	1/(centimeter2 kiloelectron_volt second steradian)

  • l_shell
    (time)
    float64
    [Re] dask.array<getitem, shape=(...

    CATDESC :

    Dipole L shell in Earth radii determined using GSM latitude

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    dipole L shell

    standard_name :

    srvy_l2_ion_l_shell

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	ronnaelementary_charge

  • lat_gse
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Latitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Latitude

    standard_name :

    srvy_l2_ion_lat_gse

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • lat_gsm
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Latitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Latitude

    standard_name :

    srvy_l2_ion_lat_gsm

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • lon_gse
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Longitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Longitude

    standard_name :

    srvy_l2_ion_lon_gse

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • lon_gsm
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Longitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Longitude

    standard_name :

    srvy_l2_ion_lon_gsm

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • moon_position_gse
    (time, rank_1)
    float64
    [km] dask.array<getitem, shape=(...

    CATDESC :

    The position of the moon in GSE coordinates

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Moon Position

    standard_name :

    srvy_l2_ion_moon_position_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	kilometer

  • percent_error
    (time, sensor, eye, energy_channel)
    float64
    [%] dask.array<getitem, shape=(8...

    FILLVAL :

    -1e+31

    SCALEMAX :

    1000.0

    SCALEMIN :

    0.0

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 5.72 MiB 854.44 kiB Shape (8927, 2, 3, 14) (1302, 2, 3, 14) Dask graph 8 chunks in 6 graph layers Data type float64 numpy.ndarray
    Units	percent

  • quality_indicator
    (time, sensor, eye)
    float64
    [] dask.array<getitem, shape=(89...

    FILLVAL :

    -2147483648

    SCALETYP :

    linear

    VALIDMAX :

    3

    VALIDMIN :

    0

    Magnitude	Array Chunk Bytes 418.45 kiB 418.45 kiB Shape (8927, 2, 3) (8927, 2, 3) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • radius
    (time)
    float64
    [Re] dask.array<getitem, shape=(...

    CATDESC :

    Radial distance in Earth radii

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    radial distance

    standard_name :

    srvy_l2_ion_radius

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	ronnaelementary_charge

  • scpos_ec_gse
    (time, rank_1)
    float64
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Spacecraft position in Earth-centered geocentric solar ecliptic coordinates

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Spacecraft Position (GSE)

    standard_name :

    srvy_l2_ion_scpos_ec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	kilometer

  • scx_vec_gse
    (time, rank_1)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    the spacecraft X axis unit vector in Earth-fixed geocentric coordinates.

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    X

    standard_name :

    srvy_l2_ion_scx_vec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • scy_vec_gse
    (time, rank_1)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    the spacecraft Y axis unit vector in Earth-fixed geocentric coordinates.t

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Y

    standard_name :

    srvy_l2_ion_scy_vec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • scz_vec_gse
    (time, rank_1)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    the spacecraft Z axis unit vector in Earth-fixed geocentric coordinates.

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Z

    standard_name :

    srvy_l2_ion_scz_vec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • sector_mask
    (sensor, eye, spin_sector)
    float64
    [] dask.array<open_dataset-secto...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 3.00 kiB 3.00 kiB Shape (2, 3, 64) (2, 3, 64) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • spin
    (time)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    The number of spacecraft rotations

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Spacecraft rotations

    standard_name :

    srvy_l2_ion_spin

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • spin_duration
    (time)
    float64
    [s] dask.array<getitem, shape=(8...

    CATDESC :

    The time span during which the spacecraft spins 1 revolution

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    SPIN_DURATION

    standard_name :

    srvy_l2_ion_spin_duration

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	second

  • spinsectnum
    (time)
    int16
    [] dask.array<getitem, shape=(89...

    CATDESC :

    Spin sector in which the spacecraft was oriented during data acquisition

    FILLVAL :

    -32768

    SCALETYP :

    linear

    VALIDMAX :

    32767

    VALIDMIN :

    0

    long_name :

    spin sector

    standard_name :

    srvy_l2_ion_spinsectnum

    Magnitude	Array Chunk Bytes 17.44 kiB 17.44 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type int16 numpy.ndarray
    Units	dimensionless

  • sun_contamination
    (sensor, eye, spin_sector)
    float64
    [] dask.array<open_dataset-sun_c...

    FILLVAL :

    -2147483648

    SCALETYP :

    linear

    VALIDMAX :

    2147483647

    VALIDMIN :

    -2147483648

    Magnitude	Array Chunk Bytes 3.00 kiB 3.00 kiB Shape (2, 3, 64) (2, 3, 64) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

• Attributes: (37)

  Acknowledgment :

  Baker, D. 2015. MMS FEEPS Level 1B Data, V1., Data Systems Group, LASP

  Data_Mode :

  Survey

  Data_type :

  Survey_Level 2

  Descriptor :

  FEEPS

  Developer :

  Dave Judd, James Craft, Edward Hartnett

  Discipline :

  Space Physics>Magnetospheric Science

  Generated_by :

  Data Systems Group at LASP

  Generation_date :

  20220913

  HTTP_LINK :

  http://www.lasp.colorado.edu

  Instrument_type :

  Particles (space)

  LINK_TEXT :

  FEEPS data

  LINK_TITLE :

  http://www.lasp.colorado.edu

  Logical_file_id :

  mms1_feeps_survey_level 2_20151016_v7.1.2

  Logical_source :

  mms1_feeps_srvy_l1B

  Logical_source_description :

  Level 2 Flys Eye Energetic Particle Sensor Survey Data

  MODS :

  Generated at LASP

  Mission_group :

  MMS

  PI_affiliation :

  LASP

  PI_name :

  STP

  Project :

  STP

  Source_name :

  mms1

  TEXT :

  http://www.lasp.colorado.edu

  cdf_file_name :

  mms1_feeps_srvy_l2_ion_20151016000000_v7.1.2.cdf

  data_level :

  l2

  data_rate :

  srvy

  data_type :

  ion

  full_path :

  data.zarr/quick-overview/local/mms1/feeps/ion/srvy/l2/zarr_2015_10_16_00_00_00

  instrument :

  feeps

  local_path :

  mms1/feeps/ion/srvy/l2/zarr_2015_10_16_00_00_00

  modified_date :

  2022-09-13T23:35:04

  probe :

  mms1

  size :

  53.175520999999996 MB

  species :

  ion

  start_time :

  2015-10-16T00:00:00.619872000

  stop_time :

  2015-10-16T23:58:27.811855872

  timestamp :

  2015_10_16_00_00_00

  version :

  7.1.2

Unit handling and conversions

astropy.units is the more common library for units handling. However, xarray currently cannot wrap astropy quantities until Quantity 2.0 is implemented. Thus, mmspy resorts to utilizing pint and pint-xarray for units handling and conversions. One setback is that pint does not accept FITS-compliant strings (e.g., 'cm-2 s-1 sr-1'). Thus, users familiar with astropy.units may find it difficult to migrate to pint. As a resolution, mmspy implements a custom pint formatter for FITS unit strings that makes the pint experience as close to that of astropy.units as much as possible. This formatter is initialized when mmspy is imported.

Below is an example of using the custom mmspy.units registry for calculating the ion cyclotron frequency:

from mmspy import units as u
import numpy as np

background_field = u.Quantity(50.0, "nT")
proton_gyrofrequency = (u.e * background_field / u.m_p / 2 / np.pi).to("Hz")
proton_gyrofrequency

0.7622593218805414 hertz

Tip

mmspy.units is an application-level registry. Thus, it can also be imported with from pint import application_registry as u.

xarray.Dataset loaded with mmspy.load() are quantified with pint by default. To do the same conversion above with a magnetic field data array, use the pint accessor:

background_field = fgm.b_gse.tensor.magnitude
fci = (u.e * background_field / u.m_p / 2 / np.pi).pint.to("Hz")
fci.data.compute()

Magnitude	[0.6349216201279423 0.6349530242442917 0.6351533127196759 ... 0.5492489808073479 0.5490516001205145 0.5490270583851451]
Units	hertz

Above, tensor is an accessor provided by mmspy to conveniently calculate the magnitude of rank_1 and rank_2 tensors.

Tip

Dequantify a Dataset or DataArray with dequantify(). For example, fgm.b_gse.pint.dequantify() returns a DataArray with the pint wrapping layer removed, where the units will be saved in its attrs. In opposite, fgm.b_gse.pint.quantify() will rewrap the array with pint.Quantity.

Furthermore, mmspy provides convienient conversion species-dependent parameters, so that one can directly convert by specifying what species the conversion involves:

fce = background_field.data.to("Hz", "electron")
fce.compute()

Magnitude	[1165.8130302110483 1165.8706929632397 1166.238453182772 ... 1008.5049844834606 1008.1425634076496 1008.0975010346407]
Units	hertz

Note

Conversion to frequency by mmspy is always to ordinary frequency (unit 'Hz').

Unfortunately, this conversion is not implemented within the pint accessor. So one would have to detach the data from the xarray manually (via data), convert it to desired units, and then put the data back into the xarray. For example:

fce = background_field.copy()
fce.data = fce.data.to("Hz", "electron")
fce.compute()

<xarray.DataArray 'b_gse' (time: 345596)> Size: 3MB
<Quantity([1165.81303021 1165.87069296 1166.23845318 ... 1008.50498448 1008.14256341
 1008.09750103], 'hertz')>
Coordinates:
  * time     (time) datetime64[ns] 3MB 2015-10-16T08:00:00.009373144 ... 2015...
Attributes:
    CATDESC:            Magnetic field vector in Geocentric Solar Ecliptic (G...
    CDF_DATA_TYPE:      CDF_REAL4
    COORDINATE_SYSTEM:  GSE
    FILLVAL:            -9.999999848243207e+30
    SCALETYP:           linear
    TENSOR_ORDER:       1
    VALIDMAX:           [17000.0, 17000.0, 17000.0, 17000.0]
    VALIDMIN:           [-17000.0, -17000.0, -17000.0, 0.0]
    standard_name:      Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

xarray.DataArray

'b_gse'

• time: 345596

• [Hz] 1.166e+03 1.166e+03 1.166e+03 ... 1.009e+03 1.008e+03 1.008e+03

  Magnitude	[1165.8130302110483 1165.8706929632397 1166.238453182772 ... 1008.5049844834606 1008.1425634076496 1008.0975010346407]
  Units	hertz

• Coordinates: (1)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.009373144 .....

    CATDESC :

    Interval centered time tag (TBC)

    DELTA_MINUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['2010-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.009373144', '2015-10-16T08:00:00.071873953',
           '2015-10-16T08:00:00.134374762', ..., '2015-10-16T13:59:59.851527653',
           '2015-10-16T13:59:59.914028462', '2015-10-16T13:59:59.976529271'],
          shape=(345596,), dtype='datetime64[ns]')

• Attributes: (9)

  CATDESC :

  Magnetic field vector in Geocentric Solar Ecliptic (GSE) cartesian coordinates plus Btotal (8 or 16 S/s)

  CDF_DATA_TYPE :

  CDF_REAL4

  COORDINATE_SYSTEM :

  GSE

  FILLVAL :

  -9.999999848243207e+30

  SCALETYP :

  linear

  TENSOR_ORDER :

  1

  VALIDMAX :

  [17000.0, 17000.0, 17000.0, 17000.0]

  VALIDMIN :

  [-17000.0, -17000.0, -17000.0, 0.0]

  standard_name :

  Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

We can also add the converted array as coordinates as follows:

fgm = fgm.assign_coords(
    fce=(background_field.dims, background_field.data.to("Hz", "electron")),
    fci=(background_field.dims, background_field.data.to("Hz", "ion")),
)
fgm

<xarray.Dataset> Size: 34MB
Dimensions:         (time: 345596, rank_1: 3, ephemeris_time: 720)
Coordinates:
  * time            (time) datetime64[ns] 3MB 2015-10-16T08:00:00.009373144 ....
  * rank_1          (rank_1) <U3 36B 'x' 'y' 'z'
  * ephemeris_time  (ephemeris_time) datetime64[ns] 6kB 2015-10-16T08:00:24.2...
    fce             (time) float64 3MB [Hz] dask.array<mul, shape=(345596,), ...
    fci             (time) float64 3MB [Hz] dask.array<mul, shape=(345596,), ...
Data variables: (12/13)
    b_bcs           (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    b_dmpa          (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    b_gse           (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    b_gsm           (time, rank_1) float32 4MB [nT] dask.array<getitem, shape...
    bdeltahalf      (time) float32 1MB [s] dask.array<getitem, shape=(345596,...
    etemp           (time) float32 1MB [°C] dask.array<getitem, shape=(345596...
    ...              ...
    hirange         (time) uint8 346kB [] dask.array<getitem, shape=(345596,)...
    mode            (time) float32 1MB [1/s] dask.array<getitem, shape=(34559...
    r_gse           (ephemeris_time, rank_1) float32 9kB [km] dask.array<geti...
    r_gsm           (ephemeris_time, rank_1) float32 9kB [km] dask.array<geti...
    rdeltahalf      (time) float32 1MB [s] dask.array<getitem, shape=(345596,...
    stemp           (time) float32 1MB [°C] dask.array<getitem, shape=(345596...
Attributes: (12/38)
    Data_type:                   srvy_l2
    Descriptor:                  FGM>Flux Gate Magnetometer
    Discipline:                  Space Physics>Magnetospheric Science
    File_naming_convention:      source_descriptor_datatype_yyyyMMdd
    Generated_by:                UCLA
    Generation_date:             20160225
    ...                          ...
    size:                        66.233524 MB
    species:                     
    start_time:                  2015-10-16T00:00:13.330852139
    stop_time:                   2015-10-17T00:00:14.324999497
    timestamp:                   2015_10_16_00_00_00
    version:                     4.18.0

xarray.Dataset

• Dimensions:
  • time: 345596
  • rank_1: 3
  • ephemeris_time: 720
• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.009373144 .....

    CATDESC :

    Interval centered time tag (TBC)

    DELTA_MINUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['2010-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.009373144', '2015-10-16T08:00:00.071873953',
           '2015-10-16T08:00:00.134374762', ..., '2015-10-16T13:59:59.851527653',
           '2015-10-16T13:59:59.914028462', '2015-10-16T13:59:59.976529271'],
          shape=(345596,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U3
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U3')

  • ephemeris_time
    (ephemeris_time)
    datetime64[ns]
    2015-10-16T08:00:24.248000 ... 2...

    CATDESC :

    Default time

    DELTA_MINUS_VAR :

    mms1_fgm_rdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_rdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:24.248000000', '2015-10-16T08:00:54.248000000',
           '2015-10-16T08:01:24.248000000', ..., '2015-10-16T13:58:54.248000000',
           '2015-10-16T13:59:24.248000000', '2015-10-16T13:59:54.248000000'],
          shape=(720,), dtype='datetime64[ns]')

  • fce
    (time)
    float64
    [Hz] dask.array<mul, shape=(3455...

    Magnitude	Array Chunk Bytes 2.64 MiB 217.02 kiB Shape (345596,) (27778,) Dask graph 13 chunks in 13 graph layers Data type float64 numpy.ndarray
    Units	hertz

  • fci
    (time)
    float64
    [Hz] dask.array<mul, shape=(3455...

    Magnitude	Array Chunk Bytes 2.64 MiB 217.02 kiB Shape (345596,) (27778,) Dask graph 13 chunks in 13 graph layers Data type float64 numpy.ndarray
    Units	hertz

• Data variables: (13)
  • b_bcs
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Body Coordinate System cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    BCS>Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    standard_name :

    Magnetic field vector in BCS plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • b_dmpa
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Despun MPA-aligned cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DMPA>Despun Major Principal Axis

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    VAR_NOTES :

    During nominal operatins in the region of interest, DMPA is within 3 degrees of GSE.

    standard_name :

    Magnetic field vector in DMPA plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • b_gse
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Geocentric Solar Ecliptic (GSE) cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    standard_name :

    Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • b_gsm
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Geocentric Solar Magnetospheric (GSM) cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSM

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    standard_name :

    Magnetic field vector in GSM plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • bdeltahalf
    (time)
    float32
    [s] dask.array<getitem, shape=(3...

    CATDESC :

    Delta from center time to sample start/finish, sec

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0

    VALIDMIN :

    0.0010000000474974513

    long_name :

    mms1_fgm_bdeltahalf_srvy_l2

    standard_name :

    mms1_fgm_bdeltahalf_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	second

  • etemp
    (time)
    float32
    [°C] dask.array<getitem, shape=(...

    CATDESC :

    Electronics Temperature smoothed four times with6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar

    FILLVAL :

    nan

    SCALETYP :

    linear

    VALIDMAX :

    1000.0

    VALIDMIN :

    -1000.0

    VAR_NOTES :

    Electronics Temperature smoothed four times with6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar. t_maxgap = 240; t_bmaxgap = 240

    long_name :

    mms1_fgm_etemp_srvy_l2

    standard_name :

    mms1_fgm_etemp_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree_Celsius

  • flag
    (time)
    uint32
    [] dask.array<getitem, shape=(34...

    CATDESC :

    0 = No identified problems, non-zero = blank out the data

    FILLVAL :

    4294967295

    SCALETYP :

    linear

    VALIDMAX :

    4294967281

    VALIDMIN :

    0

    VAR_NOTES :

    bit definitions: 0: TBD, 1: TBD, 2: user flagged, 3: TBD, 4: B1 saturated, 5: B2 saturated, 6: B3 saturated, 7: range-change glitch, 8-31: TBD

    long_name :

    mms1_fgm_flag_srvy_l2

    standard_name :

    mms1_fgm_flag_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • hirange
    (time)
    uint8
    [] dask.array<getitem, shape=(34...

    CATDESC :

    1 = High Range, 0 = Low Range

    FILLVAL :

    255

    SCALETYP :

    linear

    VALIDMAX :

    2

    VALIDMIN :

    0

    long_name :

    mms1_fgm_hirange_srvy_l2

    standard_name :

    mms1_fgm_hirange_srvy_l2

    Magnitude	Array Chunk Bytes 337.50 kiB 337.50 kiB Shape (345596,) (345596,) Dask graph 1 chunks in 5 graph layers Data type uint8 numpy.ndarray
    Units	dimensionless

  • mode
    (time)
    float32
    [1/s] dask.array<getitem, shape=...

    CATDESC :

    median rate (Samples/s) of the current instrument mode (NOT necessarily the rate of the L2 data, which may have been downsampled)

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    200.0

    VALIDMIN :

    2.0

    VAR_NOTES :

    8 = slow, 16 = fast, 128 = f128. Note that 128 S/s L1A data is decimated to 16 S/s in srvy L1B

    long_name :

    mms1_fgm_mode_srvy_l2

    standard_name :

    mms1_fgm_mode_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	1/second

  • r_gse
    (ephemeris_time, rank_1)
    float32
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Definitive Position in GSE coordinates, 30 second

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    1000000.0

    VALIDMIN :

    -1000000.0

    standard_name :

    mms1_fgm_r_gse_srvy_l2

    Magnitude	Array Chunk Bytes 8.44 kiB 2.81 kiB Shape (720, 3) (720, 1) Dask graph 3 chunks in 3 graph layers Data type float32 numpy.ndarray
    Units	kilometer

  • r_gsm
    (ephemeris_time, rank_1)
    float32
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Definitive Position in GSM coordinates, 30 second

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSM

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    1000000.0

    VALIDMIN :

    -1000000.0

    standard_name :

    mms1_fgm_r_gsm_srvy_l2

    Magnitude	Array Chunk Bytes 8.44 kiB 2.81 kiB Shape (720, 3) (720, 1) Dask graph 3 chunks in 3 graph layers Data type float32 numpy.ndarray
    Units	kilometer

  • rdeltahalf
    (time)
    float32
    [s] dask.array<getitem, shape=(3...

    CATDESC :

    Median delta between ephemeris samples / 2, sec.

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    100.0

    VALIDMIN :

    1.0

    long_name :

    mms1_fgm_rdeltahalf_srvy_l2

    standard_name :

    mms1_fgm_rdeltahalf_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	second

  • stemp
    (time)
    float32
    [°C] dask.array<getitem, shape=(...

    CATDESC :

    Sensor Temperature smoothed four times with 6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar

    FILLVAL :

    nan

    SCALETYP :

    linear

    VALIDMAX :

    1000.0

    VALIDMIN :

    -1000.0

    VAR_NOTES :

    Sensor Temperature smoothed four times with 6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar. t_maxgap = 240; t_bmaxgap = 240

    long_name :

    mms1_fgm_stemp_srvy_l2

    standard_name :

    mms1_fgm_stemp_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree_Celsius

• Attributes: (38)

  Data_type :

  srvy_l2

  Descriptor :

  FGM>Flux Gate Magnetometer

  Discipline :

  Space Physics>Magnetospheric Science

  File_naming_convention :

  source_descriptor_datatype_yyyyMMdd

  Generated_by :

  UCLA

  Generation_date :

  20160225

  HTTP_LINK :

  ['http://mms.gsfc.nasa.gov/', 'http://mms.space.swri.edu/index.html', 'https://lasp.colorado.edu/mms/sdc', 'http://www-spc.igpp.ucla.edu/ssc/mms', 'http://www.iwf.oeaw.ac.at']

  Instrument_type :

  Magnetic Fields (space)

  LINK_TEXT :

  ['MMS home page', 'SMART package home page', 'Science Data Center', 'FGM team home page', 'FGM team']

  LINK_TITLE :

  ['at GSFC', 'at SWRI', 'at LASP', 'at UCLA', 'at IWF']

  Logical_file_id :

  mms1_fgm_srvy_l2_20151016_v4.18.0

  Logical_source :

  mms1_fgm_srvy_l2

  Logical_source_description :

  Level2 Flux Gate Magnetometer Combined Fast/Slow Survey DC Magnetic Field for MMS Satellite Number 1

  MODS :

  version X=4: First version for public release of L2. Renamed variables to conform with new MMS variable name guidelines (obs_instr_paramName[_coordSys]_mode_level): Mag field parameters include 'b' for paramName. Use 'r' instead of 'pos' for S/C position paramName. Eliminated 'rate', replaced with 'bdeltahalf'. Added 'rdeltahalf'. l1a_mode is now just 'mode'. version X=3: fixed removal of overlap between modes. fixed a bug that caused stemp and etemp to be empty. version X=2: flag parameter name corrected: was 'status' added bits 4, 5, 6 to flag saturation on B1, B2, and B3, respectively added bit 7 to flag bad data at range changes Added etemp and l1a_mode parameters. rate, hirange, and stemp parameters now comply with MMS CDF Guidlelines, e.g. FILLVAL now defined for stemp and etemp, and is set to !values.f_nan No longer use Var_Parents attribute in stemp -- see Parents instead In this version, temperature-corrected gains are applied. Reference temperatures are used when stemp or etemp are set to FILLVAL. Non-linearity correction is applied to high rage DFG data. version X=1: added 'flag', rate and hirange parameters (but 'flag' is actually called 'status')

  Mission_group :

  MMS

  PI_affiliation :

  SWRI, UCLA, IWF

  PI_name :

  J. Burch, C. Russell, W. Magnus

  Parents :

  ['CDF>mms1_afg_fast_l1a_20151016_v1.4.0', 'CDF>mms1_afg_slow_l1a_20151016_v1.4.0', 'CDF>mms1_fields_hk_l1b_10e_20151016_v0.3.3', 'MMS1_DEFATT_2015289_2015289.V00', 'MMS1_DEFATT_2015289_2015290.V00', 'MMS1_DEFEPH_2015288_2015289.V01', 'MMS1_DEFEPH_2015289_2015290.V01', 'CDF>mms1_afg_lorangecal_l2pre_20100101_v4.18.0', 'CDF>mms1_afg_hirangecal_l2pre_20100101_v4.18.0']

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  See MMS Data Rights and Rules for Use https://lasp.colorado.edu/galaxy/display/mms/MMS+Data+Rights+and+Rules+for+Data+Use

  Source_name :

  MMS1>MMS Satellite Number 1

  TEXT :

  ['The Fluxgate Magnetometers (FGM) on Magnetospheric Multiscale consist of a traditional Analog Fluxgate Magnetometer (AFG), and a Digital Fluxgate magnetometer (DFG). The dual magnetometers are operated as a single instrument providing a single intercalibrated data product. Range changes occur at different times on the two instruments so the gains checked each periapsis can be carried out unambiguously to apoapsis. Cross correlation of calibration parameters can separate causes of the any apparent calibration changes. Use of Electron Drift Instrument (EDI) to determine the field along the rotation axis allows accurate monitoring of the zero levels along the rotation axis. Prior to launch the magnetometers were calibrated at the Technical University, Braunschweig, except for the AFG magnetometers on MMS3 and MMS4, which were calibrated at UCLA. Both sets of sensors are operated for the entire MMS orbit, with slow survey (8 samples per second) outside of the Region of Interest (ROI), and fast survey (16 samples per second) inside the ROI. Within the ROI burst mode data (128 samples per second) are also acquired. A detailed description of the MMS fluxgate magnetometers, including science objectives, instrument description, calibration, magnetic cleanliness program, and data flow can be found at http://link.springer.com/article/10.1007%2Fs11214-014-0057-3 (DOI 10.1007/s11214-014-0057-3).Additional information can also be found at http://www-spc.igpp.ucla.edu/ssc/mms (UCLA),and http://www.iwf.oeaw.ac.at (IWF, Graz).', 'For the purpose of creating a unified FGM Level2 data product, burst mode data is taken from DFG and survey mode data is taken from AFG. Because AFG and DFG are cross-calibrated on an orbit-averaged basis, small differences in offset may be observed between Level2 burst and survey mode data. Consequently, any differences are within the error of the measurement. Based on preliminary analysis of the data, the absolute error within the Region of Interest (ROI) is estimated to be no more than 0.1 nT in the spin-plane, 0.15 nT along the spin-axis and 0.2 nT in total magnitude.']

  Time_resolution :

  0.0625 to 0.125 sec

  cdf_file_name :

  mms1_fgm_srvy_l2_20151016_v4.18.0.cdf

  data_level :

  l2

  data_rate :

  srvy

  data_type :

  None

  full_path :

  data.zarr/quick-overview/local/mms1/fgm/bfield/srvy/l2/zarr_2015_10_16_00_00_00

  instrument :

  fgm

  local_path :

  mms1/fgm/bfield/srvy/l2/zarr_2015_10_16_00_00_00

  modified_date :

  2016-02-26T04:29:05

  probe :

  mms1

  size :

  66.233524 MB

  species :

  start_time :

  2015-10-16T00:00:13.330852139

  stop_time :

  2015-10-17T00:00:14.324999497

  timestamp :

  2015_10_16_00_00_00

  version :

  4.18.0

Similarly, number density can be converted to plasma frequencies, which are added as extra coordinates of the ion_fpi dataset:

ion_fpi = ion_fpi.assign_coords(
    fpi=(ion_fpi.numberdensity.dims, ion_fpi.numberdensity.data.to("Hz", "ion")),
)
ion_fpi

<xarray.Dataset> Size: 7MB
Dimensions:                    (time: 4800, rank_1: 3, energy_channel: 32,
                                rank_2: 6)
Coordinates:
  * time                       (time) datetime64[ns] 38kB 2015-10-16T08:00:03...
  * rank_1                     (rank_1) <U1 12B 'x' 'y' 'z'
  * energy_channel             (energy_channel) int8 32B 0 1 2 3 ... 28 29 30 31
  * rank_2                     (rank_2) <U2 48B 'xx' 'yy' 'zz' 'xy' 'xz' 'yz'
    energy                     (time, energy_channel) float32 614kB [eV] dask...
    fpi                        (time) float64 38kB [Hz] dask.array<mul, shape...
Data variables: (12/37)
    Epoch_minus_var            (time) float32 19kB [s] 0.0 0.0 0.0 ... 0.0 0.0
    Epoch_plus_var             (time) float32 19kB [s] 4.5 4.5 4.5 ... 4.5 4.5
    bulkv_dbcs                 (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_err                  (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_gse                  (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_spintone_dbcs        (time, rank_1) float32 58kB [km/s] dask.array<...
    ...                         ...
    startdelphi_count          (time) uint16 10kB [] dask.array<getitem, shap...
    temppara                   (time) float32 19kB [eV] dask.array<getitem, s...
    tempperp                   (time) float32 19kB [eV] dask.array<getitem, s...
    temptensor_dbcs            (time, rank_2) float32 115kB [eV] dask.array<g...
    temptensor_err             (time, rank_2) float32 115kB [eV] dask.array<g...
    temptensor_gse             (time, rank_2) float32 115kB [eV] dask.array<g...
Attributes: (12/57)
    Correction_table_name:                mms1_dis_fast_f1ct_v21-0211_0222_p0...
    Correction_table_rev:                 7825
    Correction_table_scaling_factor:      1.00000
    Data_type:                            fast_l2_dis-moms
    Dead_time_correction:                 100 ns
    Descriptor:                           DIS>Dual Ion Spectrometers
    ...                                   ...
    size:                                 2.240963 MB
    species:                              ion
    start_time:                           2015-10-16T08:00:03.908768999
    stop_time:                            2015-10-16T09:59:59.457722999
    timestamp:                            2015_10_16_08_00_00
    version:                              3.4.0

xarray.Dataset

• Dimensions:
  • time: 4800
  • rank_1: 3
  • energy_channel: 32
  • rank_2: 6
• Coordinates: (6)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:03.908768999 .....

    CATDESC :

    Centered timestamps

    DELTA_MINUS_VAR :

    Epoch_minus_var

    DELTA_PLUS_VAR :

    Epoch_plus_var

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2099-12-31T23:59:59.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    VAR_NOTES :

    MMS1 FPI/DIS survey data begin-time; derived from survey packet time.

    standard_name :

    Time

    array(['2015-10-16T08:00:03.908768999', '2015-10-16T08:00:08.408801999',
           '2015-10-16T08:00:12.908828999', ..., '2015-10-16T13:59:50.557325999',
           '2015-10-16T13:59:55.057353999', '2015-10-16T13:59:59.557388999'],
          shape=(4800,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

  • energy_channel
    (energy_channel)
    int8
    0 1 2 3 4 5 6 ... 26 27 28 29 30 31

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], dtype=int8)

  • rank_2
    (rank_2)
    <U2
    'xx' 'yy' 'zz' 'xy' 'xz' 'yz'

    array(['xx', 'yy', 'zz', 'xy', 'xz', 'yz'], dtype='<U2')

  • energy
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map energies

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_energy_delta_fast

    DELTA_PLUS_VAR :

    mms1_dis_energy_delta_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    30000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Geometric mean of parity 0 and parity 1 energies in the 64-step FPI energy table

    long_name :

    energy

    standard_name :

    MMS1 FPI/DIS energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • fpi
    (time)
    float64
    [Hz] dask.array<mul, shape=(4800...

    Magnitude	Array Chunk Bytes 37.50 kiB 12.50 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 16 graph layers Data type float64 numpy.ndarray
    Units	hertz

• Data variables: (37)
  • Epoch_minus_var
    (time)
    float32
    [s] 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0

    CATDESC :

    MMS1 FPI/DIS epoch minus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    standard_name :

    MMS1 FPI/DIS epoch minus var

    Magnitude	[0.0 0.0 0.0 ... 0.0 0.0 0.0]
    Units	second

  • Epoch_plus_var
    (time)
    float32
    [s] 4.5 4.5 4.5 4.5 ... 4.5 4.5 4.5

    CATDESC :

    MMS1 FPI/DIS epoch plus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    standard_name :

    MMS1 FPI/DIS epoch plus var

    Magnitude	[4.5 4.5 4.5 ... 4.5 4.5 4.5]
    Units	second

  • bulkv_dbcs
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    standard_name :

    MMS1 FPI/DIS DBCS bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_err
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    standard_name :

    MMS1 FPI/DIS bulk v error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_gse
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    standard_name :

    MMS1 FPI/DIS GSE bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_spintone_dbcs
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    standard_name :

    MMS1 FPI/DIS DBCS bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_spintone_gse
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    standard_name :

    MMS1 FPI/DIS GSE bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • compressionloss
    (time)
    uint8
    [] 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1

    CATDESC :

    MMS1 FPI/DIS compression lossless/lossy indicator at survey-start time

    FILLVAL :

    255

    SCALETYP :

    linear

    VALIDMAX :

    1

    VALIDMIN :

    0

    VAR_NOTES :

    FPI/DIS compression loss indicator, 0=lossless, 1=lossy

    long_name :

    compressFlag

    standard_name :

    MMS1 FPI/DIS compression flag

    Magnitude	[1 1 1 ... 1 1 1]
    Units	dimensionless

  • densityextrapolation_high
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to infinity) contribution to density integral above 30keV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS density extrapolation (high)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • densityextrapolation_low
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to 0) contribution to density integral below 10eV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS density extrapolation (low)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • energy_delta
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map delta energies

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Note that the deltas are provided to indicate that FPI is reporting the energy bin centers. These do not necessarily reflect the energy bandwidth that is sampled by FPI at a given energy step.

    long_name :

    delta energy

    standard_name :

    MMS1 FPI/DIS delta energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • energyspectr_mx
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -x axis (instrument look angles: 45deg <= theta < 135deg and phi >= 315deg or phi < 45deg).

    long_name :

    DEF_mx

    standard_name :

    MMS1 FPI/DIS energySpectr_mX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_my
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -y axis (instrument look angles: 45deg <= theta < 135deg and 45deg <= phi < 135deg).

    long_name :

    DEF_my

    standard_name :

    MMS1 FPI/DIS energySpectr_mY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_mz
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -z axis (instrument look angles: 0deg <= theta < 45deg and 0deg <= phi < 360deg).

    long_name :

    DEF_mz

    standard_name :

    MMS1 FPI/DIS energySpectr_mZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_omni
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS omni-directional ion energy spectrum during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_omni

    standard_name :

    MMS1 FPI/DIS energySpectr_omni

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_px
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +x axis (instrument look angles: 45deg <= theta < 135deg and 135deg <= phi < 225deg).

    long_name :

    DEF_px

    standard_name :

    MMS1 FPI/DIS energySpectr_pX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_py
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +y axis (instrument look angles: 45deg <= theta < 135deg and 225deg <= phi < 315deg).

    long_name :

    DEF_py

    standard_name :

    MMS1 FPI/DIS energySpectr_pY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_pz
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +z axis (instrument look angles: 135deg <= theta < 180deg and 0deg <= phi < 360deg).

    long_name :

    DEF_pz

    standard_name :

    MMS1 FPI/DIS energySpectr_pZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • errorflags
    (time)
    uint32
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS vector of data-quality indicators at survey-start time

    FILLVAL :

    4294967295

    SCALETYP :

    linear

    VALIDMAX :

    4294967294

    VALIDMIN :

    0

    VAR_NOTES :

    Value of zero signifies no quality errors. For non-zero values: Bit-0 = manually flagged interval, Bit-1 = overcounting/saturation effects likely present in skymap, Bit-2 = reported spacecraft potential above 20V, Bit-3 = invalid/unavailable spacecraft potential, Bit-4 = significant (>10%) cold plasma (<10eV) component, Bit-5 = significant (>25%) hot plasma (>30keV) component, Bit-6 = high sonic Mach number (v/vth > 2.5), Bit-7 = low calculated density (n_DIS <= 0.0 cm^-3), Bit-8 = bentPipe magnetic field used instead of srvy l2pre magnetic field, Bit-10 = no internally generated photoelectron correction applied, Bit-11 = compression pipeline error, Bit-12 = spintone calculation error (DBCS only), Bit-13 = significant (>=20%) penetrating radiation, Bit-14 = high MMS3 spintone due to DIS008 anomaly

    long_name :

    errFlags

    standard_name :

    MMS1 FPI/DIS dataQuality errorFlags

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • heatq_dbcs
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    standard_name :

    MMS1 FPI/DIS DBCS heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • heatq_err
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    standard_name :

    MMS1 FPI/DIS heatq error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • heatq_gse
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    standard_name :

    MMS1 FPI/DIS GSE heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • numberdensity
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_numberdensity_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_numberdensity_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • numberdensity_bg
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion background number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background number density derived via integration of the estimated background differential energy flux.

    long_name :

    N_bg

    standard_name :

    MMS1 FPI/DIS background number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • numberdensity_err
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N_err

    standard_name :

    MMS1 FPI/DIS number density error

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • pres_bg
    (time)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion background pressure during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    long_name :

    DEF_pres_bg

    standard_name :

    MMS1 FPI/DIS pres_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_dbcs
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_DBCS

    standard_name :

    MMS1 FPI/DIS DBCS pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_err
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    200000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    P_err

    standard_name :

    MMS1 FPI/DIS pres error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_gse
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_GSE

    standard_name :

    MMS1 FPI/DIS GSE pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • spectr_bg
    (time)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion background energy during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_spect_bg

    standard_name :

    MMS1 FPI/DIS spectr_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • startdelphi_angle
    (time)
    float32
    [deg] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) angle at survey-start time

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    360.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Nominally, spin-phase angles range over [0, 360) deg. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_ang

    standard_name :

    MMS1 FPI/DIS start Del-Phi angle

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	degree

  • startdelphi_count
    (time)
    uint16
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) count at survey-start time

    FILLVAL :

    65535

    SCALETYP :

    linear

    VALIDMAX :

    5761

    VALIDMIN :

    0

    VAR_NOTES :

    Nominally, spin-phase counts range over [0000, 5759] cnts. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_cnt

    standard_name :

    MMS1 FPI/DIS start Del-Phi count

    Magnitude	Array Chunk Bytes 9.38 kiB 3.12 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint16 numpy.ndarray
    Units	dimensionless

  • temppara
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion parallel temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_para

    standard_name :

    MMS1 FPI1/DIS tempPara

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • tempperp
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion perpendicular temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_perp

    standard_name :

    MMS1 FPI1/DIS tempPerp

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_dbcs
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_DBCS

    standard_name :

    MMS1 FPI/DIS DBCS temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_err
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    60000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    T_err

    standard_name :

    MMS1 FPI/DIS DBCS temp error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_gse
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_GSE

    standard_name :

    MMS1 FPI/DIS GSE temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

• Attributes: (57)

  Correction_table_name :

  mms1_dis_fast_f1ct_v21-0211_0222_p0-2.cdf

  Correction_table_rev :

  7825

  Correction_table_scaling_factor :

  1.00000

  Data_type :

  fast_l2_dis-moms

  Dead_time_correction :

  100 ns

  Descriptor :

  DIS>Dual Ion Spectrometers

  Discipline :

  Space Physics>Magnetospheric Science

  Energy_e0 :

  100.00eV

  Energy_table_name :

  energies_dis_0-2.txt

  File_naming_convention :

  source_descriptor_datatype_yyyyMMddHHmmss

  Generated_by :

  FPI ITF, NASA/GSFC Code 673

  Generation_date :

  Tue Aug 8 02:06:43 2023

  Generation_site :

  ITF

  HTTP_LINK :

  ['http://mms.gsfc.nasa.gov', 'http://mms.space.swri.edu', 'http://lasp.colorado.edu/mms/sdc', 'http://www.nasa.gov/mission_pages/mms/spacecraft/instruments.html#fpi']

  High_energy_extrapolation :

  Enabled

  Instrument_type :

  ['Plasma and Solar Wind', 'Particles (space)']

  LINK_TEXT :

  ['MMS home page', 'SMART package home page', 'Science Data Center', 'FPI overview']

  LINK_TITLE :

  ['at GSFC', 'at SWRI', 'at LASP', 'at NASA']

  Logical_file_id :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0

  Logical_source :

  mms1_fpi_fast_l2_dis-moms

  Logical_source_description :

  MMS Satellite Number 1 Dual Ion Spectrometer FastSurvey-resolution distribution moments

  Low_energy_extrapolation :

  Disabled

  Lower_energy_integration_limit :

  10.00eV

  MODS :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for data set modification history.

  Magnetic_field_filenames :

  mms1_fgm_srvy_l2_20151016_v4.18.0.cdf mms1_fgm_srvy_l2_20151017_v4.18.0.cdf

  Mission_group :

  MMS

  PI_affiliation :

  SwRI, GSFC

  PI_name :

  J. Burch, B. Giles

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for rules of use.

  Scp_energy_fraction :

  1.00eV

  Skeleton_revdate :

  $Date: 2023-03-27 12:39:23 -0400 (Mon, 27 Mar 2023) $

  Skeleton_version :

  $Revision: 9858 $

  Skymap_avgN :

  1

  Source_name :

  MMS1>MMS Satellite Number 1

  Spacecraft_attitude_filenames :

  MMS1_DEFATT_2015289_2015289.V00

  Spacecraft_potential_filenames :

  mms1_edp_fast_l2_scpot_20151016000000_v2.7.0.cdf mms1_edp_fast_l2_scpot_20151017000000_v2.7.0.cdf

  Spacecraft_potential_offset :

  0.0

  Spacecraft_potential_scaling_factor :

  1.0

  TEXT :

  FPI usually operates in Fast Survey (FS) Mode in the MMS Region Of Interest (ROI) for the current Mission Phase. Data are taken at burst (30/150 ms for DES/DIS) resolution in this mode. Data are also made available at survey (4.5 s) resolution. Per mission design, not all burst-resolution data are downlinked, but all survey data are downlinked. Planning around calibration activities, avoidance of Earth radiation belts, etc, when possible, FPI usually operates in Slow Survey (SS) Mode (60 s resolution) outside of ROI. This moments product contains results from integrating the standard moments of phase-space distributions formed from the indicated data type (DES/DIS burst, FS or SS). For convenience, some additional parameters are included to augment those most commonly found in a moments product of this sort, plus time-stamps and other annotation characterizing the state of the instrument system at the indicated time.

  Time_resolution :

  4.5 seconds

  Upper_energy_integration_limit :

  30000.00eV

  cdf_file_name :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0.cdf

  data_level :

  l2

  data_rate :

  fast

  data_type :

  dis-moms

  full_path :

  data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_08_00_00

  instrument :

  fpi

  local_path :

  mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_08_00_00

  modified_date :

  2023-08-08T06:06:43

  probe :

  mms1

  size :

  2.240963 MB

  species :

  ion

  start_time :

  2015-10-16T08:00:03.908768999

  stop_time :

  2015-10-16T09:59:59.457722999

  timestamp :

  2015_10_16_08_00_00

  version :

  3.4.0

Energy can be converted (relativistically correctly) to speed

ion_fpi = ion_fpi.assign_coords(
    V=(ion_fpi.energy.dims, ion_fpi.energy.data.to("km/s", "ion")),
)
ion_fpi

<xarray.Dataset> Size: 8MB
Dimensions:                    (time: 4800, rank_1: 3, energy_channel: 32,
                                rank_2: 6)
Coordinates:
  * time                       (time) datetime64[ns] 38kB 2015-10-16T08:00:03...
  * rank_1                     (rank_1) <U1 12B 'x' 'y' 'z'
  * energy_channel             (energy_channel) int8 32B 0 1 2 3 ... 28 29 30 31
  * rank_2                     (rank_2) <U2 48B 'xx' 'yy' 'zz' 'xy' 'xz' 'yz'
    energy                     (time, energy_channel) float32 614kB [eV] dask...
    fpi                        (time) float64 38kB [Hz] dask.array<mul, shape...
    V                          (time, energy_channel) float64 1MB [km/s] dask...
Data variables: (12/37)
    Epoch_minus_var            (time) float32 19kB [s] 0.0 0.0 0.0 ... 0.0 0.0
    Epoch_plus_var             (time) float32 19kB [s] 4.5 4.5 4.5 ... 4.5 4.5
    bulkv_dbcs                 (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_err                  (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_gse                  (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_spintone_dbcs        (time, rank_1) float32 58kB [km/s] dask.array<...
    ...                         ...
    startdelphi_count          (time) uint16 10kB [] dask.array<getitem, shap...
    temppara                   (time) float32 19kB [eV] dask.array<getitem, s...
    tempperp                   (time) float32 19kB [eV] dask.array<getitem, s...
    temptensor_dbcs            (time, rank_2) float32 115kB [eV] dask.array<g...
    temptensor_err             (time, rank_2) float32 115kB [eV] dask.array<g...
    temptensor_gse             (time, rank_2) float32 115kB [eV] dask.array<g...
Attributes: (12/57)
    Correction_table_name:                mms1_dis_fast_f1ct_v21-0211_0222_p0...
    Correction_table_rev:                 7825
    Correction_table_scaling_factor:      1.00000
    Data_type:                            fast_l2_dis-moms
    Dead_time_correction:                 100 ns
    Descriptor:                           DIS>Dual Ion Spectrometers
    ...                                   ...
    size:                                 2.240963 MB
    species:                              ion
    start_time:                           2015-10-16T08:00:03.908768999
    stop_time:                            2015-10-16T09:59:59.457722999
    timestamp:                            2015_10_16_08_00_00
    version:                              3.4.0

xarray.Dataset

• Dimensions:
  • time: 4800
  • rank_1: 3
  • energy_channel: 32
  • rank_2: 6
• Coordinates: (7)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:03.908768999 .....

    CATDESC :

    Centered timestamps

    DELTA_MINUS_VAR :

    Epoch_minus_var

    DELTA_PLUS_VAR :

    Epoch_plus_var

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2099-12-31T23:59:59.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    VAR_NOTES :

    MMS1 FPI/DIS survey data begin-time; derived from survey packet time.

    standard_name :

    Time

    array(['2015-10-16T08:00:03.908768999', '2015-10-16T08:00:08.408801999',
           '2015-10-16T08:00:12.908828999', ..., '2015-10-16T13:59:50.557325999',
           '2015-10-16T13:59:55.057353999', '2015-10-16T13:59:59.557388999'],
          shape=(4800,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

  • energy_channel
    (energy_channel)
    int8
    0 1 2 3 4 5 6 ... 26 27 28 29 30 31

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], dtype=int8)

  • rank_2
    (rank_2)
    <U2
    'xx' 'yy' 'zz' 'xy' 'xz' 'yz'

    array(['xx', 'yy', 'zz', 'xy', 'xz', 'yz'], dtype='<U2')

  • energy
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map energies

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_energy_delta_fast

    DELTA_PLUS_VAR :

    mms1_dis_energy_delta_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    30000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Geometric mean of parity 0 and parity 1 energies in the 64-step FPI energy table

    long_name :

    energy

    standard_name :

    MMS1 FPI/DIS energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • fpi
    (time)
    float64
    [Hz] dask.array<mul, shape=(4800...

    Magnitude	Array Chunk Bytes 37.50 kiB 12.50 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 16 graph layers Data type float64 numpy.ndarray
    Units	hertz

  • V
    (time, energy_channel)
    float64
    [km/s] dask.array<mul, shape=(48...

    Magnitude	Array Chunk Bytes 1.17 MiB 400.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 19 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

• Data variables: (37)
  • Epoch_minus_var
    (time)
    float32
    [s] 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0

    CATDESC :

    MMS1 FPI/DIS epoch minus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    standard_name :

    MMS1 FPI/DIS epoch minus var

    Magnitude	[0.0 0.0 0.0 ... 0.0 0.0 0.0]
    Units	second

  • Epoch_plus_var
    (time)
    float32
    [s] 4.5 4.5 4.5 4.5 ... 4.5 4.5 4.5

    CATDESC :

    MMS1 FPI/DIS epoch plus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    standard_name :

    MMS1 FPI/DIS epoch plus var

    Magnitude	[4.5 4.5 4.5 ... 4.5 4.5 4.5]
    Units	second

  • bulkv_dbcs
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    standard_name :

    MMS1 FPI/DIS DBCS bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_err
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    standard_name :

    MMS1 FPI/DIS bulk v error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_gse
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    standard_name :

    MMS1 FPI/DIS GSE bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_spintone_dbcs
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    standard_name :

    MMS1 FPI/DIS DBCS bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_spintone_gse
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    standard_name :

    MMS1 FPI/DIS GSE bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • compressionloss
    (time)
    uint8
    [] 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1

    CATDESC :

    MMS1 FPI/DIS compression lossless/lossy indicator at survey-start time

    FILLVAL :

    255

    SCALETYP :

    linear

    VALIDMAX :

    1

    VALIDMIN :

    0

    VAR_NOTES :

    FPI/DIS compression loss indicator, 0=lossless, 1=lossy

    long_name :

    compressFlag

    standard_name :

    MMS1 FPI/DIS compression flag

    Magnitude	[1 1 1 ... 1 1 1]
    Units	dimensionless

  • densityextrapolation_high
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to infinity) contribution to density integral above 30keV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS density extrapolation (high)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • densityextrapolation_low
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to 0) contribution to density integral below 10eV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS density extrapolation (low)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • energy_delta
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map delta energies

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Note that the deltas are provided to indicate that FPI is reporting the energy bin centers. These do not necessarily reflect the energy bandwidth that is sampled by FPI at a given energy step.

    long_name :

    delta energy

    standard_name :

    MMS1 FPI/DIS delta energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • energyspectr_mx
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -x axis (instrument look angles: 45deg <= theta < 135deg and phi >= 315deg or phi < 45deg).

    long_name :

    DEF_mx

    standard_name :

    MMS1 FPI/DIS energySpectr_mX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_my
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -y axis (instrument look angles: 45deg <= theta < 135deg and 45deg <= phi < 135deg).

    long_name :

    DEF_my

    standard_name :

    MMS1 FPI/DIS energySpectr_mY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_mz
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -z axis (instrument look angles: 0deg <= theta < 45deg and 0deg <= phi < 360deg).

    long_name :

    DEF_mz

    standard_name :

    MMS1 FPI/DIS energySpectr_mZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_omni
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS omni-directional ion energy spectrum during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_omni

    standard_name :

    MMS1 FPI/DIS energySpectr_omni

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_px
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +x axis (instrument look angles: 45deg <= theta < 135deg and 135deg <= phi < 225deg).

    long_name :

    DEF_px

    standard_name :

    MMS1 FPI/DIS energySpectr_pX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_py
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +y axis (instrument look angles: 45deg <= theta < 135deg and 225deg <= phi < 315deg).

    long_name :

    DEF_py

    standard_name :

    MMS1 FPI/DIS energySpectr_pY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_pz
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +z axis (instrument look angles: 135deg <= theta < 180deg and 0deg <= phi < 360deg).

    long_name :

    DEF_pz

    standard_name :

    MMS1 FPI/DIS energySpectr_pZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • errorflags
    (time)
    uint32
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS vector of data-quality indicators at survey-start time

    FILLVAL :

    4294967295

    SCALETYP :

    linear

    VALIDMAX :

    4294967294

    VALIDMIN :

    0

    VAR_NOTES :

    Value of zero signifies no quality errors. For non-zero values: Bit-0 = manually flagged interval, Bit-1 = overcounting/saturation effects likely present in skymap, Bit-2 = reported spacecraft potential above 20V, Bit-3 = invalid/unavailable spacecraft potential, Bit-4 = significant (>10%) cold plasma (<10eV) component, Bit-5 = significant (>25%) hot plasma (>30keV) component, Bit-6 = high sonic Mach number (v/vth > 2.5), Bit-7 = low calculated density (n_DIS <= 0.0 cm^-3), Bit-8 = bentPipe magnetic field used instead of srvy l2pre magnetic field, Bit-10 = no internally generated photoelectron correction applied, Bit-11 = compression pipeline error, Bit-12 = spintone calculation error (DBCS only), Bit-13 = significant (>=20%) penetrating radiation, Bit-14 = high MMS3 spintone due to DIS008 anomaly

    long_name :

    errFlags

    standard_name :

    MMS1 FPI/DIS dataQuality errorFlags

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • heatq_dbcs
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    standard_name :

    MMS1 FPI/DIS DBCS heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • heatq_err
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    standard_name :

    MMS1 FPI/DIS heatq error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • heatq_gse
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    standard_name :

    MMS1 FPI/DIS GSE heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • numberdensity
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_numberdensity_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_numberdensity_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • numberdensity_bg
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion background number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background number density derived via integration of the estimated background differential energy flux.

    long_name :

    N_bg

    standard_name :

    MMS1 FPI/DIS background number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • numberdensity_err
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N_err

    standard_name :

    MMS1 FPI/DIS number density error

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • pres_bg
    (time)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion background pressure during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    long_name :

    DEF_pres_bg

    standard_name :

    MMS1 FPI/DIS pres_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_dbcs
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_DBCS

    standard_name :

    MMS1 FPI/DIS DBCS pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_err
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    200000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    P_err

    standard_name :

    MMS1 FPI/DIS pres error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_gse
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_GSE

    standard_name :

    MMS1 FPI/DIS GSE pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • spectr_bg
    (time)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion background energy during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_spect_bg

    standard_name :

    MMS1 FPI/DIS spectr_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • startdelphi_angle
    (time)
    float32
    [deg] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) angle at survey-start time

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    360.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Nominally, spin-phase angles range over [0, 360) deg. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_ang

    standard_name :

    MMS1 FPI/DIS start Del-Phi angle

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	degree

  • startdelphi_count
    (time)
    uint16
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) count at survey-start time

    FILLVAL :

    65535

    SCALETYP :

    linear

    VALIDMAX :

    5761

    VALIDMIN :

    0

    VAR_NOTES :

    Nominally, spin-phase counts range over [0000, 5759] cnts. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_cnt

    standard_name :

    MMS1 FPI/DIS start Del-Phi count

    Magnitude	Array Chunk Bytes 9.38 kiB 3.12 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint16 numpy.ndarray
    Units	dimensionless

  • temppara
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion parallel temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_para

    standard_name :

    MMS1 FPI1/DIS tempPara

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • tempperp
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion perpendicular temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_perp

    standard_name :

    MMS1 FPI1/DIS tempPerp

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_dbcs
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_DBCS

    standard_name :

    MMS1 FPI/DIS DBCS temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_err
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    60000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    T_err

    standard_name :

    MMS1 FPI/DIS DBCS temp error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_gse
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_GSE

    standard_name :

    MMS1 FPI/DIS GSE temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

• Attributes: (57)

  Correction_table_name :

  mms1_dis_fast_f1ct_v21-0211_0222_p0-2.cdf

  Correction_table_rev :

  7825

  Correction_table_scaling_factor :

  1.00000

  Data_type :

  fast_l2_dis-moms

  Dead_time_correction :

  100 ns

  Descriptor :

  DIS>Dual Ion Spectrometers

  Discipline :

  Space Physics>Magnetospheric Science

  Energy_e0 :

  100.00eV

  Energy_table_name :

  energies_dis_0-2.txt

  File_naming_convention :

  source_descriptor_datatype_yyyyMMddHHmmss

  Generated_by :

  FPI ITF, NASA/GSFC Code 673

  Generation_date :

  Tue Aug 8 02:06:43 2023

  Generation_site :

  ITF

  HTTP_LINK :

  ['http://mms.gsfc.nasa.gov', 'http://mms.space.swri.edu', 'http://lasp.colorado.edu/mms/sdc', 'http://www.nasa.gov/mission_pages/mms/spacecraft/instruments.html#fpi']

  High_energy_extrapolation :

  Enabled

  Instrument_type :

  ['Plasma and Solar Wind', 'Particles (space)']

  LINK_TEXT :

  ['MMS home page', 'SMART package home page', 'Science Data Center', 'FPI overview']

  LINK_TITLE :

  ['at GSFC', 'at SWRI', 'at LASP', 'at NASA']

  Logical_file_id :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0

  Logical_source :

  mms1_fpi_fast_l2_dis-moms

  Logical_source_description :

  MMS Satellite Number 1 Dual Ion Spectrometer FastSurvey-resolution distribution moments

  Low_energy_extrapolation :

  Disabled

  Lower_energy_integration_limit :

  10.00eV

  MODS :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for data set modification history.

  Magnetic_field_filenames :

  mms1_fgm_srvy_l2_20151016_v4.18.0.cdf mms1_fgm_srvy_l2_20151017_v4.18.0.cdf

  Mission_group :

  MMS

  PI_affiliation :

  SwRI, GSFC

  PI_name :

  J. Burch, B. Giles

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for rules of use.

  Scp_energy_fraction :

  1.00eV

  Skeleton_revdate :

  $Date: 2023-03-27 12:39:23 -0400 (Mon, 27 Mar 2023) $

  Skeleton_version :

  $Revision: 9858 $

  Skymap_avgN :

  1

  Source_name :

  MMS1>MMS Satellite Number 1

  Spacecraft_attitude_filenames :

  MMS1_DEFATT_2015289_2015289.V00

  Spacecraft_potential_filenames :

  mms1_edp_fast_l2_scpot_20151016000000_v2.7.0.cdf mms1_edp_fast_l2_scpot_20151017000000_v2.7.0.cdf

  Spacecraft_potential_offset :

  0.0

  Spacecraft_potential_scaling_factor :

  1.0

  TEXT :

  FPI usually operates in Fast Survey (FS) Mode in the MMS Region Of Interest (ROI) for the current Mission Phase. Data are taken at burst (30/150 ms for DES/DIS) resolution in this mode. Data are also made available at survey (4.5 s) resolution. Per mission design, not all burst-resolution data are downlinked, but all survey data are downlinked. Planning around calibration activities, avoidance of Earth radiation belts, etc, when possible, FPI usually operates in Slow Survey (SS) Mode (60 s resolution) outside of ROI. This moments product contains results from integrating the standard moments of phase-space distributions formed from the indicated data type (DES/DIS burst, FS or SS). For convenience, some additional parameters are included to augment those most commonly found in a moments product of this sort, plus time-stamps and other annotation characterizing the state of the instrument system at the indicated time.

  Time_resolution :

  4.5 seconds

  Upper_energy_integration_limit :

  30000.00eV

  cdf_file_name :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0.cdf

  data_level :

  l2

  data_rate :

  fast

  data_type :

  dis-moms

  full_path :

  data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_08_00_00

  instrument :

  fpi

  local_path :

  mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_08_00_00

  modified_date :

  2023-08-08T06:06:43

  probe :

  mms1

  size :

  2.240963 MB

  species :

  ion

  start_time :

  2015-10-16T08:00:03.908768999

  stop_time :

  2015-10-16T09:59:59.457722999

  timestamp :

  2015_10_16_08_00_00

  version :

  3.4.0

Energy flux can be converted (relativistically correctly) to phase space density (a bit more involved, since the conversion involves energy) as follows:

ion_fpi = ion_fpi.assign_coords(
    f_omni=(
        ion_fpi.energyspectr_omni.dims,
        ion_fpi.energyspectr_omni.data.to(
            "s3 km-6",
            "ion",
            energy=ion_fpi.energy.broadcast_like(ion_fpi.energyspectr_omni).data,
        ),
    ),
)
ion_fpi

<xarray.Dataset> Size: 9MB
Dimensions:                    (time: 4800, rank_1: 3, energy_channel: 32,
                                rank_2: 6)
Coordinates:
  * time                       (time) datetime64[ns] 38kB 2015-10-16T08:00:03...
  * rank_1                     (rank_1) <U1 12B 'x' 'y' 'z'
  * energy_channel             (energy_channel) int8 32B 0 1 2 3 ... 28 29 30 31
  * rank_2                     (rank_2) <U2 48B 'xx' 'yy' 'zz' 'xy' 'xz' 'yz'
    energy                     (time, energy_channel) float32 614kB [eV] dask...
    fpi                        (time) float64 38kB [Hz] dask.array<mul, shape...
    V                          (time, energy_channel) float64 1MB [km/s] dask...
    f_omni                     (time, energy_channel) float64 1MB [s³/km⁶] da...
Data variables: (12/37)
    Epoch_minus_var            (time) float32 19kB [s] 0.0 0.0 0.0 ... 0.0 0.0
    Epoch_plus_var             (time) float32 19kB [s] 4.5 4.5 4.5 ... 4.5 4.5
    bulkv_dbcs                 (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_err                  (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_gse                  (time, rank_1) float32 58kB [km/s] dask.array<...
    bulkv_spintone_dbcs        (time, rank_1) float32 58kB [km/s] dask.array<...
    ...                         ...
    startdelphi_count          (time) uint16 10kB [] dask.array<getitem, shap...
    temppara                   (time) float32 19kB [eV] dask.array<getitem, s...
    tempperp                   (time) float32 19kB [eV] dask.array<getitem, s...
    temptensor_dbcs            (time, rank_2) float32 115kB [eV] dask.array<g...
    temptensor_err             (time, rank_2) float32 115kB [eV] dask.array<g...
    temptensor_gse             (time, rank_2) float32 115kB [eV] dask.array<g...
Attributes: (12/57)
    Correction_table_name:                mms1_dis_fast_f1ct_v21-0211_0222_p0...
    Correction_table_rev:                 7825
    Correction_table_scaling_factor:      1.00000
    Data_type:                            fast_l2_dis-moms
    Dead_time_correction:                 100 ns
    Descriptor:                           DIS>Dual Ion Spectrometers
    ...                                   ...
    size:                                 2.240963 MB
    species:                              ion
    start_time:                           2015-10-16T08:00:03.908768999
    stop_time:                            2015-10-16T09:59:59.457722999
    timestamp:                            2015_10_16_08_00_00
    version:                              3.4.0

xarray.Dataset

• Dimensions:
  • time: 4800
  • rank_1: 3
  • energy_channel: 32
  • rank_2: 6
• Coordinates: (8)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:03.908768999 .....

    CATDESC :

    Centered timestamps

    DELTA_MINUS_VAR :

    Epoch_minus_var

    DELTA_PLUS_VAR :

    Epoch_plus_var

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2099-12-31T23:59:59.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    VAR_NOTES :

    MMS1 FPI/DIS survey data begin-time; derived from survey packet time.

    standard_name :

    Time

    array(['2015-10-16T08:00:03.908768999', '2015-10-16T08:00:08.408801999',
           '2015-10-16T08:00:12.908828999', ..., '2015-10-16T13:59:50.557325999',
           '2015-10-16T13:59:55.057353999', '2015-10-16T13:59:59.557388999'],
          shape=(4800,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

  • energy_channel
    (energy_channel)
    int8
    0 1 2 3 4 5 6 ... 26 27 28 29 30 31

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], dtype=int8)

  • rank_2
    (rank_2)
    <U2
    'xx' 'yy' 'zz' 'xy' 'xz' 'yz'

    array(['xx', 'yy', 'zz', 'xy', 'xz', 'yz'], dtype='<U2')

  • energy
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map energies

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_energy_delta_fast

    DELTA_PLUS_VAR :

    mms1_dis_energy_delta_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    30000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Geometric mean of parity 0 and parity 1 energies in the 64-step FPI energy table

    long_name :

    energy

    standard_name :

    MMS1 FPI/DIS energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • fpi
    (time)
    float64
    [Hz] dask.array<mul, shape=(4800...

    Magnitude	Array Chunk Bytes 37.50 kiB 12.50 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 16 graph layers Data type float64 numpy.ndarray
    Units	hertz

  • V
    (time, energy_channel)
    float64
    [km/s] dask.array<mul, shape=(48...

    Magnitude	Array Chunk Bytes 1.17 MiB 400.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 19 graph layers Data type float64 numpy.ndarray
    Units	kilometer/second

  • f_omni
    (time, energy_channel)
    float64
    [s³/km⁶] dask.array<mul, shape=(...

    Magnitude	Array Chunk Bytes 1.17 MiB 400.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 31 graph layers Data type float64 numpy.ndarray
    Units	second3/kilometer6

• Data variables: (37)
  • Epoch_minus_var
    (time)
    float32
    [s] 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0

    CATDESC :

    MMS1 FPI/DIS epoch minus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    standard_name :

    MMS1 FPI/DIS epoch minus var

    Magnitude	[0.0 0.0 0.0 ... 0.0 0.0 0.0]
    Units	second

  • Epoch_plus_var
    (time)
    float32
    [s] 4.5 4.5 4.5 4.5 ... 4.5 4.5 4.5

    CATDESC :

    MMS1 FPI/DIS epoch plus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    standard_name :

    MMS1 FPI/DIS epoch plus var

    Magnitude	[4.5 4.5 4.5 ... 4.5 4.5 4.5]
    Units	second

  • bulkv_dbcs
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    standard_name :

    MMS1 FPI/DIS DBCS bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_err
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    standard_name :

    MMS1 FPI/DIS bulk v error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_gse
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    standard_name :

    MMS1 FPI/DIS GSE bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_spintone_dbcs
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    standard_name :

    MMS1 FPI/DIS DBCS bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • bulkv_spintone_gse
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    standard_name :

    MMS1 FPI/DIS GSE bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • compressionloss
    (time)
    uint8
    [] 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1

    CATDESC :

    MMS1 FPI/DIS compression lossless/lossy indicator at survey-start time

    FILLVAL :

    255

    SCALETYP :

    linear

    VALIDMAX :

    1

    VALIDMIN :

    0

    VAR_NOTES :

    FPI/DIS compression loss indicator, 0=lossless, 1=lossy

    long_name :

    compressFlag

    standard_name :

    MMS1 FPI/DIS compression flag

    Magnitude	[1 1 1 ... 1 1 1]
    Units	dimensionless

  • densityextrapolation_high
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to infinity) contribution to density integral above 30keV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS density extrapolation (high)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • densityextrapolation_low
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to 0) contribution to density integral below 10eV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS density extrapolation (low)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • energy_delta
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map delta energies

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Note that the deltas are provided to indicate that FPI is reporting the energy bin centers. These do not necessarily reflect the energy bandwidth that is sampled by FPI at a given energy step.

    long_name :

    delta energy

    standard_name :

    MMS1 FPI/DIS delta energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • energyspectr_mx
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -x axis (instrument look angles: 45deg <= theta < 135deg and phi >= 315deg or phi < 45deg).

    long_name :

    DEF_mx

    standard_name :

    MMS1 FPI/DIS energySpectr_mX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_my
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -y axis (instrument look angles: 45deg <= theta < 135deg and 45deg <= phi < 135deg).

    long_name :

    DEF_my

    standard_name :

    MMS1 FPI/DIS energySpectr_mY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_mz
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -z axis (instrument look angles: 0deg <= theta < 45deg and 0deg <= phi < 360deg).

    long_name :

    DEF_mz

    standard_name :

    MMS1 FPI/DIS energySpectr_mZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_omni
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS omni-directional ion energy spectrum during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_omni

    standard_name :

    MMS1 FPI/DIS energySpectr_omni

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_px
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +x axis (instrument look angles: 45deg <= theta < 135deg and 135deg <= phi < 225deg).

    long_name :

    DEF_px

    standard_name :

    MMS1 FPI/DIS energySpectr_pX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_py
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +y axis (instrument look angles: 45deg <= theta < 135deg and 225deg <= phi < 315deg).

    long_name :

    DEF_py

    standard_name :

    MMS1 FPI/DIS energySpectr_pY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • energyspectr_pz
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +z axis (instrument look angles: 135deg <= theta < 180deg and 0deg <= phi < 360deg).

    long_name :

    DEF_pz

    standard_name :

    MMS1 FPI/DIS energySpectr_pZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • errorflags
    (time)
    uint32
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS vector of data-quality indicators at survey-start time

    FILLVAL :

    4294967295

    SCALETYP :

    linear

    VALIDMAX :

    4294967294

    VALIDMIN :

    0

    VAR_NOTES :

    Value of zero signifies no quality errors. For non-zero values: Bit-0 = manually flagged interval, Bit-1 = overcounting/saturation effects likely present in skymap, Bit-2 = reported spacecraft potential above 20V, Bit-3 = invalid/unavailable spacecraft potential, Bit-4 = significant (>10%) cold plasma (<10eV) component, Bit-5 = significant (>25%) hot plasma (>30keV) component, Bit-6 = high sonic Mach number (v/vth > 2.5), Bit-7 = low calculated density (n_DIS <= 0.0 cm^-3), Bit-8 = bentPipe magnetic field used instead of srvy l2pre magnetic field, Bit-10 = no internally generated photoelectron correction applied, Bit-11 = compression pipeline error, Bit-12 = spintone calculation error (DBCS only), Bit-13 = significant (>=20%) penetrating radiation, Bit-14 = high MMS3 spintone due to DIS008 anomaly

    long_name :

    errFlags

    standard_name :

    MMS1 FPI/DIS dataQuality errorFlags

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • heatq_dbcs
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    standard_name :

    MMS1 FPI/DIS DBCS heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • heatq_err
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    standard_name :

    MMS1 FPI/DIS heatq error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • heatq_gse
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    standard_name :

    MMS1 FPI/DIS GSE heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • numberdensity
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_numberdensity_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_numberdensity_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    standard_name :

    MMS1 FPI/DIS number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • numberdensity_bg
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion background number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background number density derived via integration of the estimated background differential energy flux.

    long_name :

    N_bg

    standard_name :

    MMS1 FPI/DIS background number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • numberdensity_err
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N_err

    standard_name :

    MMS1 FPI/DIS number density error

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • pres_bg
    (time)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion background pressure during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    long_name :

    DEF_pres_bg

    standard_name :

    MMS1 FPI/DIS pres_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_dbcs
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_DBCS

    standard_name :

    MMS1 FPI/DIS DBCS pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_err
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    200000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    P_err

    standard_name :

    MMS1 FPI/DIS pres error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • prestensor_gse
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_GSE

    standard_name :

    MMS1 FPI/DIS GSE pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • spectr_bg
    (time)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion background energy during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_spect_bg

    standard_name :

    MMS1 FPI/DIS spectr_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • startdelphi_angle
    (time)
    float32
    [deg] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) angle at survey-start time

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    360.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Nominally, spin-phase angles range over [0, 360) deg. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_ang

    standard_name :

    MMS1 FPI/DIS start Del-Phi angle

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	degree

  • startdelphi_count
    (time)
    uint16
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) count at survey-start time

    FILLVAL :

    65535

    SCALETYP :

    linear

    VALIDMAX :

    5761

    VALIDMIN :

    0

    VAR_NOTES :

    Nominally, spin-phase counts range over [0000, 5759] cnts. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_cnt

    standard_name :

    MMS1 FPI/DIS start Del-Phi count

    Magnitude	Array Chunk Bytes 9.38 kiB 3.12 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint16 numpy.ndarray
    Units	dimensionless

  • temppara
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion parallel temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_para

    standard_name :

    MMS1 FPI1/DIS tempPara

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • tempperp
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion perpendicular temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_perp

    standard_name :

    MMS1 FPI1/DIS tempPerp

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_dbcs
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_DBCS

    standard_name :

    MMS1 FPI/DIS DBCS temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_err
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    60000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    T_err

    standard_name :

    MMS1 FPI/DIS DBCS temp error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • temptensor_gse
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_GSE

    standard_name :

    MMS1 FPI/DIS GSE temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

• Attributes: (57)

  Correction_table_name :

  mms1_dis_fast_f1ct_v21-0211_0222_p0-2.cdf

  Correction_table_rev :

  7825

  Correction_table_scaling_factor :

  1.00000

  Data_type :

  fast_l2_dis-moms

  Dead_time_correction :

  100 ns

  Descriptor :

  DIS>Dual Ion Spectrometers

  Discipline :

  Space Physics>Magnetospheric Science

  Energy_e0 :

  100.00eV

  Energy_table_name :

  energies_dis_0-2.txt

  File_naming_convention :

  source_descriptor_datatype_yyyyMMddHHmmss

  Generated_by :

  FPI ITF, NASA/GSFC Code 673

  Generation_date :

  Tue Aug 8 02:06:43 2023

  Generation_site :

  ITF

  HTTP_LINK :

  ['http://mms.gsfc.nasa.gov', 'http://mms.space.swri.edu', 'http://lasp.colorado.edu/mms/sdc', 'http://www.nasa.gov/mission_pages/mms/spacecraft/instruments.html#fpi']

  High_energy_extrapolation :

  Enabled

  Instrument_type :

  ['Plasma and Solar Wind', 'Particles (space)']

  LINK_TEXT :

  ['MMS home page', 'SMART package home page', 'Science Data Center', 'FPI overview']

  LINK_TITLE :

  ['at GSFC', 'at SWRI', 'at LASP', 'at NASA']

  Logical_file_id :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0

  Logical_source :

  mms1_fpi_fast_l2_dis-moms

  Logical_source_description :

  MMS Satellite Number 1 Dual Ion Spectrometer FastSurvey-resolution distribution moments

  Low_energy_extrapolation :

  Disabled

  Lower_energy_integration_limit :

  10.00eV

  MODS :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for data set modification history.

  Magnetic_field_filenames :

  mms1_fgm_srvy_l2_20151016_v4.18.0.cdf mms1_fgm_srvy_l2_20151017_v4.18.0.cdf

  Mission_group :

  MMS

  PI_affiliation :

  SwRI, GSFC

  PI_name :

  J. Burch, B. Giles

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for rules of use.

  Scp_energy_fraction :

  1.00eV

  Skeleton_revdate :

  $Date: 2023-03-27 12:39:23 -0400 (Mon, 27 Mar 2023) $

  Skeleton_version :

  $Revision: 9858 $

  Skymap_avgN :

  1

  Source_name :

  MMS1>MMS Satellite Number 1

  Spacecraft_attitude_filenames :

  MMS1_DEFATT_2015289_2015289.V00

  Spacecraft_potential_filenames :

  mms1_edp_fast_l2_scpot_20151016000000_v2.7.0.cdf mms1_edp_fast_l2_scpot_20151017000000_v2.7.0.cdf

  Spacecraft_potential_offset :

  0.0

  Spacecraft_potential_scaling_factor :

  1.0

  TEXT :

  FPI usually operates in Fast Survey (FS) Mode in the MMS Region Of Interest (ROI) for the current Mission Phase. Data are taken at burst (30/150 ms for DES/DIS) resolution in this mode. Data are also made available at survey (4.5 s) resolution. Per mission design, not all burst-resolution data are downlinked, but all survey data are downlinked. Planning around calibration activities, avoidance of Earth radiation belts, etc, when possible, FPI usually operates in Slow Survey (SS) Mode (60 s resolution) outside of ROI. This moments product contains results from integrating the standard moments of phase-space distributions formed from the indicated data type (DES/DIS burst, FS or SS). For convenience, some additional parameters are included to augment those most commonly found in a moments product of this sort, plus time-stamps and other annotation characterizing the state of the instrument system at the indicated time.

  Time_resolution :

  4.5 seconds

  Upper_energy_integration_limit :

  30000.00eV

  cdf_file_name :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0.cdf

  data_level :

  l2

  data_rate :

  fast

  data_type :

  dis-moms

  full_path :

  data.zarr/quick-overview/local/mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_08_00_00

  instrument :

  fpi

  local_path :

  mms1/fpi/dis-moms/fast/l2/zarr_2015_10_16_08_00_00

  modified_date :

  2023-08-08T06:06:43

  probe :

  mms1

  size :

  2.240963 MB

  species :

  ion

  start_time :

  2015-10-16T08:00:03.908768999

  stop_time :

  2015-10-16T09:59:59.457722999

  timestamp :

  2015_10_16_08_00_00

  version :

  3.4.0

Below is a full list of supported conversions:

• Voltage <-> Potential energy

• Kinetic energy -> Lorentz factor

• Momentum -> Lorentz factor

• Kinetic energy <-> Momentum

• Kinetic energy <-> Speed

• Magnetic field <-> Cyclotron frequency

• Density <-> Plasma frequency

• Phase space density <-> Energy flux

Dask in action

Every calculation that we have laid out thus far (frequency, speed, and phase space density conversions) are not evaluated immediately. Let us examine the task graph of one of the variables from the previous section:

ion_fpi.V.data.dask

HighLevelGraph

HighLevelGraph with 19 layers and 45 keys from all layers.

Layer1: original

original-open_dataset-energy-6f4cc3cd45cc459cb6e55cb1e1a33109

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer2: open_dataset-energy

open_dataset-energy-6f4cc3cd45cc459cb6e55cb1e1a33109

layer_type Blockwise is_materialized False number of outputs 1 shape (1600, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-energy-6f4cc3cd45cc459cb6e55cb1e1a33109

Layer3: original

original-open_dataset-energy-cafada05f8435a0037a9923315d5027d

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer4: open_dataset-energy

open_dataset-energy-cafada05f8435a0037a9923315d5027d

layer_type Blockwise is_materialized False number of outputs 1 shape (1600, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-energy-cafada05f8435a0037a9923315d5027d

Layer5: original

original-open_dataset-energy-28a025bae7712e00ccb83400862d6253

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer6: open_dataset-energy

open_dataset-energy-28a025bae7712e00ccb83400862d6253

layer_type Blockwise is_materialized False number of outputs 1 shape (1600, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-energy-28a025bae7712e00ccb83400862d6253

Layer7: concatenate

concatenate-d043f2a894cc791dad527b166c4294a6

layer_type MaterializedLayer is_materialized True number of outputs 3 shape (4800, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on open_dataset-energy-6f4cc3cd45cc459cb6e55cb1e1a33109 open_dataset-energy-28a025bae7712e00ccb83400862d6253 open_dataset-energy-cafada05f8435a0037a9923315d5027d

Layer8: getitem

getitem-b1a6d2775384bec462a43db4c78cffde

layer_type MaterializedLayer is_materialized True number of outputs 3 shape (4800, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on concatenate-d043f2a894cc791dad527b166c4294a6

Layer9: getitem

getitem-08a8208f56cef7cc64bf686280a909cf

layer_type MaterializedLayer is_materialized True number of outputs 3 shape (4800, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on getitem-b1a6d2775384bec462a43db4c78cffde

Layer10: truediv

truediv-2b7ed7153330eadec1fe69374263f51d

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on getitem-08a8208f56cef7cc64bf686280a909cf

Layer11: mul

mul-70d1c1db27bc66dfae57bd3e0719f3e8

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on truediv-2b7ed7153330eadec1fe69374263f51d

Layer12: add

add-34bbc7e6a58a02089448ff74de6295a5

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on mul-70d1c1db27bc66dfae57bd3e0719f3e8

Layer13: pow

pow-0982b76cbc4aa574e16e5312d1e07bea

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on add-34bbc7e6a58a02089448ff74de6295a5

Layer14: divide

divide-0db39855d839dc37c3ec5794b1f9cb3e

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on pow-0982b76cbc4aa574e16e5312d1e07bea

Layer15: sub

sub-6a9f5ede81402d8453a3cf875674b3ba

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on divide-0db39855d839dc37c3ec5794b1f9cb3e

Layer16: neg

neg-494eda2c10535c7237ff8e344315f51f

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on sub-6a9f5ede81402d8453a3cf875674b3ba

Layer17: sqrt

sqrt-eeac70d43ec2a935333c0bb546f41ea4

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on neg-494eda2c10535c7237ff8e344315f51f

Layer18: multiply

multiply-843c51e008679ba741fe8d2fbfad4ecc

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on sqrt-eeac70d43ec2a935333c0bb546f41ea4

Layer19: mul

mul-1f3c25b167e995b76e36dfcd622452bc

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on multiply-843c51e008679ba741fe8d2fbfad4ecc

These layers show all of the necessary steps to get from data on-disk to the final computational results in-memory, which is the ion speed quantified in 'km/s'. The benefit of using dask adds up quickly for more complicated operations, which could easily result in a graph of hundreds of layers.

As a demonstration, let us further complicate the calculations by trying to integrate for the number density using the omni-directional phase space density ion_fpi.f_omni. Usually, there are important preprocessing steps to obtain the correct plasma moments. But let us ignore them for now. Perform a regrid in the ion speed (see more detailed examples in the Gallery):

from mmspy.compute.particle import ParticleGrid, interpolate_distribution
import numpy as np

grid = {
    "V": ParticleGrid(
        name="speed",
        center=u.Quantity(np.linspace(0, 5000, 30), "km s-1")
    ),
}
f_interpolated = interpolate_distribution(ion_fpi, grid, variable="f_omni")
f_interpolated

<xarray.DataArray 'f_omni' (time: 4800, speed: 30)> Size: 1MB
<Quantity(dask.array<process_chunk, shape=(4800, 30), dtype=float64, chunksize=(1, 30), chunktype=numpy.ndarray>, 'second ** 3 / kilometer ** 6')>
Coordinates:
  * time     (time) datetime64[ns] 38kB 2015-10-16T08:00:03.908768999 ... 201...
  * speed    (speed) int64 240B 0 1 2 3 4 5 6 7 8 ... 21 22 23 24 25 26 27 28 29
    V        (speed) float64 240B [km/s] 0.0 172.4 344.8 ... 4.828e+03 5e+03

xarray.DataArray

'f_omni'

• time: 4800
• speed: 30

• [s³/km⁶] dask.array<process_chunk, shape=(4800, 30), dtype=float64,...

  Magnitude	Array Chunk Bytes 1.10 MiB 240 B Shape (4800, 30) (1, 30) Dask graph 4800 chunks in 41 graph layers Data type float64 numpy.ndarray
  Units	second3/kilometer6

• Coordinates: (3)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:03.908768999 .....

    CATDESC :

    Centered timestamps

    DELTA_MINUS_VAR :

    Epoch_minus_var

    DELTA_PLUS_VAR :

    Epoch_plus_var

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2099-12-31T23:59:59.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    VAR_NOTES :

    MMS1 FPI/DIS survey data begin-time; derived from survey packet time.

    standard_name :

    Time

    array(['2015-10-16T08:00:03.908768999', '2015-10-16T08:00:08.408801999',
           '2015-10-16T08:00:12.908828999', ..., '2015-10-16T13:59:50.557325999',
           '2015-10-16T13:59:55.057353999', '2015-10-16T13:59:59.557388999'],
          shape=(4800,), dtype='datetime64[ns]')

  • speed
    (speed)
    int64
    0 1 2 3 4 5 6 ... 24 25 26 27 28 29

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29])

  • V
    (speed)
    float64
    [km/s] 0.0 172.4 ... 5e+03

    Magnitude

    [0.0 172.41379310344828 344.82758620689657 517.2413793103449 689.6551724137931 862.0689655172414 1034.4827586206898 1206.896551724138 1379.3103448275863 1551.7241379310346 1724.1379310344828 1896.5517241379312 2068.9655172413795 2241.379310344828 2413.793103448276 2586.206896551724 2758.6206896551726 2931.034482758621 3103.4482758620693 3275.862068965517 3448.2758620689656 3620.689655172414 3793.1034482758623 3965.5172413793107 4137.931034482759 4310.344827586207 4482.758620689656 4655.172413793103 4827.586206896552 5000.0]

    Units

    kilometer/second

And finally integrate along the speed coordinate, convert to number density, and add a factor of 2pi (because f_omni is solid-angle averaged):

V = f_interpolated.V
f_interpolated = f_interpolated.fillna(0.0)  # Fill NaNs with zeros
n = 2 * np.pi * (V**2 * f_interpolated).integrate("V").pint.to("cm-3")
n.data.dask

HighLevelGraph

HighLevelGraph with 56 layers and 96095 keys from all layers.

Layer1: original

original-open_dataset-energyspectr_omni-6f4cc3cd45cc459cb6e55cb1e1a33109

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer2: open_dataset

open_dataset-energyspectr_omni-6f4cc3cd45cc459cb6e55cb1e1a33109

layer_type Blockwise is_materialized False number of outputs 1 shape (1600, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-energyspectr_omni-6f4cc3cd45cc459cb6e55cb1e1a33109

Layer3: original

original-open_dataset-energyspectr_omni-cafada05f8435a0037a9923315d5027d

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer4: open_dataset

open_dataset-energyspectr_omni-cafada05f8435a0037a9923315d5027d

layer_type Blockwise is_materialized False number of outputs 1 shape (1600, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-energyspectr_omni-cafada05f8435a0037a9923315d5027d

Layer5: original

original-open_dataset-energyspectr_omni-28a025bae7712e00ccb83400862d6253

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer6: open_dataset

open_dataset-energyspectr_omni-28a025bae7712e00ccb83400862d6253

layer_type Blockwise is_materialized False number of outputs 1 shape (1600, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-energyspectr_omni-28a025bae7712e00ccb83400862d6253

Layer7: concatenate

concatenate-872b77b7f78323fe8bbe02d9b0a6f646

layer_type MaterializedLayer is_materialized True number of outputs 3 shape (4800, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on open_dataset-energyspectr_omni-28a025bae7712e00ccb83400862d6253 open_dataset-energyspectr_omni-6f4cc3cd45cc459cb6e55cb1e1a33109 open_dataset-energyspectr_omni-cafada05f8435a0037a9923315d5027d

Layer8: getitem

getitem-97a1a20df4e3ac3f056d138237b040ad

layer_type MaterializedLayer is_materialized True number of outputs 3 shape (4800, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on concatenate-872b77b7f78323fe8bbe02d9b0a6f646

Layer9: getitem

getitem-c73a04cc89dc7fef55ec3c5063bd9502

layer_type MaterializedLayer is_materialized True number of outputs 3 shape (4800, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on getitem-97a1a20df4e3ac3f056d138237b040ad

Layer10: original

original-open_dataset-energy-6f4cc3cd45cc459cb6e55cb1e1a33109

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer11: open_dataset-energy

open_dataset-energy-6f4cc3cd45cc459cb6e55cb1e1a33109

layer_type Blockwise is_materialized False number of outputs 1 shape (1600, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-energy-6f4cc3cd45cc459cb6e55cb1e1a33109

Layer12: original

original-open_dataset-energy-cafada05f8435a0037a9923315d5027d

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer13: open_dataset-energy

open_dataset-energy-cafada05f8435a0037a9923315d5027d

layer_type Blockwise is_materialized False number of outputs 1 shape (1600, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-energy-cafada05f8435a0037a9923315d5027d

Layer14: original

original-open_dataset-energy-28a025bae7712e00ccb83400862d6253

layer_type MaterializedLayer is_materialized True number of outputs 1

Layer15: open_dataset-energy

open_dataset-energy-28a025bae7712e00ccb83400862d6253

layer_type Blockwise is_materialized False number of outputs 1 shape (1600, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on original-open_dataset-energy-28a025bae7712e00ccb83400862d6253

Layer16: concatenate

concatenate-d043f2a894cc791dad527b166c4294a6

layer_type MaterializedLayer is_materialized True number of outputs 3 shape (4800, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on open_dataset-energy-6f4cc3cd45cc459cb6e55cb1e1a33109 open_dataset-energy-28a025bae7712e00ccb83400862d6253 open_dataset-energy-cafada05f8435a0037a9923315d5027d

Layer17: getitem

getitem-b1a6d2775384bec462a43db4c78cffde

layer_type MaterializedLayer is_materialized True number of outputs 3 shape (4800, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on concatenate-d043f2a894cc791dad527b166c4294a6

Layer18: getitem

getitem-08a8208f56cef7cc64bf686280a909cf

layer_type MaterializedLayer is_materialized True number of outputs 3 shape (4800, 32) dtype float32 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on getitem-b1a6d2775384bec462a43db4c78cffde

Layer19: truediv

truediv-2b7ed7153330eadec1fe69374263f51d

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on getitem-08a8208f56cef7cc64bf686280a909cf

Layer20: mul

mul-70d1c1db27bc66dfae57bd3e0719f3e8

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on truediv-2b7ed7153330eadec1fe69374263f51d

Layer21: add

add-34bbc7e6a58a02089448ff74de6295a5

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on mul-70d1c1db27bc66dfae57bd3e0719f3e8

Layer22: pow

pow-0982b76cbc4aa574e16e5312d1e07bea

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on add-34bbc7e6a58a02089448ff74de6295a5

Layer23: divide

divide-0db39855d839dc37c3ec5794b1f9cb3e

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on pow-0982b76cbc4aa574e16e5312d1e07bea

Layer24: sub

sub-6a9f5ede81402d8453a3cf875674b3ba

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on divide-0db39855d839dc37c3ec5794b1f9cb3e

Layer25: neg

neg-494eda2c10535c7237ff8e344315f51f

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on sub-6a9f5ede81402d8453a3cf875674b3ba

Layer26: sqrt

sqrt-eeac70d43ec2a935333c0bb546f41ea4

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on neg-494eda2c10535c7237ff8e344315f51f

Layer27: multiply

multiply-843c51e008679ba741fe8d2fbfad4ecc

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on sqrt-eeac70d43ec2a935333c0bb546f41ea4

Layer28: mul

mul-1f3c25b167e995b76e36dfcd622452bc

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on multiply-843c51e008679ba741fe8d2fbfad4ecc

Layer29: sub

sub-a66859ef1422e6788ba02219f1757b73

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on pow-0982b76cbc4aa574e16e5312d1e07bea

Layer30: sqrt

sqrt-0449144957f9ba83eb5e3114496bfcc4

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on sub-a66859ef1422e6788ba02219f1757b73

Layer31: mul

mul-9e7ec782494938f7f415d78f9d9883d1

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on sqrt-0449144957f9ba83eb5e3114496bfcc4

Layer32: mul

mul-2f73305ec30c8c2e942cea457fbfa176

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on mul-9e7ec782494938f7f415d78f9d9883d1

Layer33: pow

pow-6bf44c3fc6b74fab675ba25a9fd86b5d

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on mul-2f73305ec30c8c2e942cea457fbfa176

Layer34: divide

divide-15f6eabb82f19e042e62170dce1f012a

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on pow-6bf44c3fc6b74fab675ba25a9fd86b5d

Layer35: mul

mul-c5a6fdc625f9377b49aeadb1b6c0c56b

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on getitem-c73a04cc89dc7fef55ec3c5063bd9502 divide-15f6eabb82f19e042e62170dce1f012a

Layer36: truediv

truediv-7a6969030ad894a92219509b294ff114

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on mul-c5a6fdc625f9377b49aeadb1b6c0c56b getitem-08a8208f56cef7cc64bf686280a909cf

Layer37: mul

mul-ca2ccb0c018b6a09ee8f66f86d46b830

layer_type Blockwise is_materialized False number of outputs 3 shape (4800, 32) dtype float64 chunksize (1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on truediv-7a6969030ad894a92219509b294ff114

Layer38: stack

stack-70acf076240da0f2b6488e41b7f45e2f

layer_type MaterializedLayer is_materialized True number of outputs 6 shape (2, 4800, 32) dtype float64 chunksize (1, 1600, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on mul-ca2ccb0c018b6a09ee8f66f86d46b830 mul-1f3c25b167e995b76e36dfcd622452bc

Layer39: rechunk-merge

rechunk-merge-c973d0fa947ab2d55ed6eeb413da637a

layer_type MaterializedLayer is_materialized True number of outputs 19200 shape (2, 4800, 32) dtype float64 chunksize (1, 1, 32) type dask.array.core.Array chunk_type numpy.ndarray depends on stack-70acf076240da0f2b6488e41b7f45e2f

Layer40: transpose

transpose-af622d4b7be7ce6ececd3521223d899a

layer_type Blockwise is_materialized False number of outputs 9600 shape (4800, 32, 2) dtype float64 chunksize (1, 32, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on rechunk-merge-c973d0fa947ab2d55ed6eeb413da637a

Layer41: process_chunk

process_chunk-6ee7ec28cf078aaaa5cdf5a4fc443c82

layer_type Blockwise is_materialized False number of outputs 4800 shape (4800, 30) dtype float64 chunksize (1, 30) type dask.array.core.Array chunk_type numpy.ndarray depends on transpose-af622d4b7be7ce6ececd3521223d899a

Layer42: isnan

isnan-9841daf1b5fcef4f84a8232d271e2e90

layer_type Blockwise is_materialized False number of outputs 4800 shape (4800, 30) dtype bool chunksize (1, 30) type dask.array.core.Array chunk_type numpy.ndarray depends on process_chunk-6ee7ec28cf078aaaa5cdf5a4fc443c82

Layer43: invert

invert-02a0e175ecec5533c869238135bfc782

layer_type Blockwise is_materialized False number of outputs 4800 shape (4800, 30) dtype bool chunksize (1, 30) type dask.array.core.Array chunk_type numpy.ndarray depends on isnan-9841daf1b5fcef4f84a8232d271e2e90

Layer44: where

where-09ce16e2e6165ec05b5805c906b4b99b

layer_type Blockwise is_materialized False number of outputs 4800 shape (4800, 30) dtype float64 chunksize (1, 30) type dask.array.core.Array chunk_type numpy.ndarray depends on invert-02a0e175ecec5533c869238135bfc782 process_chunk-6ee7ec28cf078aaaa5cdf5a4fc443c82

Layer45: transpose

transpose-479279be24b481631b1b349a7b8000b2

layer_type Blockwise is_materialized False number of outputs 4800 shape (30, 4800) dtype float64 chunksize (30, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on where-09ce16e2e6165ec05b5805c906b4b99b

Layer46: array

array-aab864db0c2d0f9db55826f167781d2b

layer_type MaterializedLayer is_materialized True number of outputs 1 shape (30, 1) dtype float64 chunksize (30, 1) type dask.array.core.Array chunk_type numpy.ndarray

Layer47: multiply

multiply-a3456064d3c33805a57af739e04c1019

layer_type Blockwise is_materialized False number of outputs 4800 shape (30, 4800) dtype float64 chunksize (30, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on transpose-479279be24b481631b1b349a7b8000b2 array-aab864db0c2d0f9db55826f167781d2b

Layer48: getitem

getitem-3d3bf87e03561c11c45a97ef4b3dd191

layer_type MaterializedLayer is_materialized True number of outputs 4800 shape (29, 4800) dtype float64 chunksize (29, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on multiply-a3456064d3c33805a57af739e04c1019

Layer49: getitem

getitem-7ab2774b1d98a142810c8b1c4081f22f

layer_type MaterializedLayer is_materialized True number of outputs 4800 shape (29, 4800) dtype float64 chunksize (29, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on multiply-a3456064d3c33805a57af739e04c1019

Layer50: add

add-3635519bef83ee8abd36a819ce48e3ee

layer_type Blockwise is_materialized False number of outputs 4800 shape (29, 4800) dtype float64 chunksize (29, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on getitem-7ab2774b1d98a142810c8b1c4081f22f getitem-3d3bf87e03561c11c45a97ef4b3dd191

Layer51: array

array-5aa8df2cc0a7b78047b602ba227dbf99

layer_type MaterializedLayer is_materialized True number of outputs 1 shape (29, 1) dtype float64 chunksize (29, 1) type dask.array.core.Array chunk_type numpy.ndarray

Layer52: multiply

multiply-a50e2b9823ba18e1a880101ddf9365d5

layer_type Blockwise is_materialized False number of outputs 4800 shape (29, 4800) dtype float64 chunksize (29, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on array-5aa8df2cc0a7b78047b602ba227dbf99 add-3635519bef83ee8abd36a819ce48e3ee

Layer53: sum

sum-5eba73c69e3b0f0f72c45a5306e817fb

layer_type Blockwise is_materialized False number of outputs 4800 shape (29, 4800) dtype float64 chunksize (29, 1) type dask.array.core.Array chunk_type numpy.ndarray depends on multiply-a50e2b9823ba18e1a880101ddf9365d5

Layer54: sum-aggregate

sum-aggregate-4cdd5edda548ab6a8e94b8440acc79ee

layer_type MaterializedLayer is_materialized True number of outputs 4800 shape (4800,) dtype float64 chunksize (1,) type dask.array.core.Array chunk_type numpy.ndarray depends on sum-5eba73c69e3b0f0f72c45a5306e817fb

Layer55: mul

mul-86d999d46fef9c8fb1aaeb184ca69fcd

layer_type Blockwise is_materialized False number of outputs 4800 shape (4800,) dtype float64 chunksize (1,) type dask.array.core.Array chunk_type numpy.ndarray depends on sum-aggregate-4cdd5edda548ab6a8e94b8440acc79ee

Layer56: mul

mul-f630a281916abfa525e83e0af225dc37

layer_type Blockwise is_materialized False number of outputs 4800 shape (4800,) dtype float64 chunksize (1,) type dask.array.core.Array chunk_type numpy.ndarray depends on mul-86d999d46fef9c8fb1aaeb184ca69fcd

This gets us up to 75 layers! To debug, we set up a dask dashboard:

mms.enable_diagnostics()

26-Mar-20 03:51:16 [INFO] To route to workers diagnostics web server please install jupyter-server-proxy: python -m pip install jupyter-server-proxy

26-Mar-20 03:51:16 [INFO] State start

26-Mar-20 03:51:16 [INFO]   Scheduler at:     tcp://127.0.0.1:39521

26-Mar-20 03:51:16 [INFO]   dashboard at:  http://127.0.0.1:8787/status

26-Mar-20 03:51:16 [INFO] Registering Worker plugin shuffle

26-Mar-20 03:51:16 [INFO]         Start Nanny at: 'tcp://127.0.0.1:43891'

26-Mar-20 03:51:16 [INFO]         Start Nanny at: 'tcp://127.0.0.1:33765'

26-Mar-20 03:51:17 [INFO] Register worker addr: tcp://127.0.0.1:35763 name: 0

26-Mar-20 03:51:17 [INFO] Starting worker compute stream, tcp://127.0.0.1:35763

26-Mar-20 03:51:17 [INFO] Starting established connection to tcp://127.0.0.1:33320

26-Mar-20 03:51:17 [INFO] Register worker addr: tcp://127.0.0.1:46313 name: 1

26-Mar-20 03:51:17 [INFO] Starting worker compute stream, tcp://127.0.0.1:46313

26-Mar-20 03:51:17 [INFO] Starting established connection to tcp://127.0.0.1:33328

26-Mar-20 03:51:17 [INFO] Receive client connection: Client-0be39841-2410-11f1-8943-12a7e981b83f

26-Mar-20 03:51:17 [INFO] Starting established connection to tcp://127.0.0.1:33334

26-Mar-20 03:51:17 [INFO] Dask dashboard opened at http://127.0.0.1:8787/status

Client

Client-0be39841-2410-11f1-8943-12a7e981b83f

Connection method: Cluster object	Cluster type: distributed.LocalCluster
Dashboard: http://127.0.0.1:8787/status

Cluster Info

LocalCluster

279d5691

Dashboard: http://127.0.0.1:8787/status	Workers: 2
Total threads: 2	Total memory: 6.54 GiB
Status: running	Using processes: True

Scheduler Info

Scheduler

Scheduler-6bdc1a8e-768e-475a-bb63-9f738b844379

Comm: tcp://127.0.0.1:39521	Workers: 0
Dashboard: http://127.0.0.1:8787/status	Total threads: 0
Started: Just now	Total memory: 0 B

Workers

Worker: 0

Comm: tcp://127.0.0.1:35763	Total threads: 1
Dashboard: http://127.0.0.1:39353/status	Memory: 3.27 GiB
Nanny: tcp://127.0.0.1:43891
Local directory: /tmp/dask-scratch-space/worker-sw2okhzd

Worker: 1

Comm: tcp://127.0.0.1:46313	Total threads: 1
Dashboard: http://127.0.0.1:35241/status	Memory: 3.27 GiB
Nanny: tcp://127.0.0.1:33765
Local directory: /tmp/dask-scratch-space/worker-xvgf5o0g

and finally call compute() for the final results while monitoring the dashboard:

n_integrated = n.compute()
n_integrated

<xarray.DataArray (time: 4800)> Size: 38kB
<Quantity([0.28486531 0.30190083 0.32488713 ... 0.27562565 0.24943814 0.29292247], '1 / centimeter ** 3')>
Coordinates:
  * time     (time) datetime64[ns] 38kB 2015-10-16T08:00:03.908768999 ... 201...

xarray.DataArray

• time: 4800

• [1/cm³] 0.2849 0.3019 0.3249 0.3305 ... 0.2868 0.2756 0.2494 0.2929

  Magnitude	[0.28486530773265495 0.3019008273881875 0.32488712505417217 ... 0.2756256543178891 0.24943814164663416 0.2929224706276338]
  Units	1/centimeter3

• Coordinates: (1)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:03.908768999 .....

    CATDESC :

    Centered timestamps

    DELTA_MINUS_VAR :

    Epoch_minus_var

    DELTA_PLUS_VAR :

    Epoch_plus_var

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2099-12-31T23:59:59.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    VAR_NOTES :

    MMS1 FPI/DIS survey data begin-time; derived from survey packet time.

    standard_name :

    Time

    array(['2015-10-16T08:00:03.908768999', '2015-10-16T08:00:08.408801999',
           '2015-10-16T08:00:12.908828999', ..., '2015-10-16T13:59:50.557325999',
           '2015-10-16T13:59:55.057353999', '2015-10-16T13:59:59.557388999'],
          shape=(4800,), dtype='datetime64[ns]')

Plotting

mmspy does not provide any interactive component. Plotting is deferred to matplotlib, which is the most common scientific visualization library in Python. However, mmspy does provide a custom matplotlib stylesheet and some convenient formatting methods for time series and spectrograms.

To use the stylesheet:

mms.configure_matplotlib()

26-Mar-20 03:51:49 [INFO] Using stylesheet /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/data/mmspy.mplstyle

Nothing else is required. Let us now compare the integrated moment in the previous section with the L2 density using matplotlib:

import matplotlib.pyplot as plt

fig, ax = plt.subplots(1, 1, figsize=(12, 6))

ax.plot(ion_fpi.time, ion_fpi.numberdensity, "-k", label="L2 density")
ax.plot(n_integrated.time, n_integrated, "-r", label="Integrated density")
ax.legend(frameon=False, loc="upper right")
ax.set_ylabel(f"{n_integrated.pint.units:latex}")

mms.plot.autoformat(ax)
plt.show()

Not too bad! There are some expected discrepancy, mainly due to the usage of a linear grid. A more detailed example on how to use functions in the mmspy.compute.particle module is given in the Gallery.

Alias query parameters and variables

You might have noticed prior that mmspy.query shows aliases for the parameters. This option is available if you wish to customize different names for datasets and variables. There is actually another important component of mmspy, called mmspy.config, which configures the behaviors of mmspy.query and mmspy.store. To enable aliasing, set:

mms.config.query.use_alias = True

mms.query.data_rate = "survey"
mms.query.data_level = "level_2"
mms.query.show()

  * start_time        : 2015-10-16 08:00:00
  * stop_time         : 2015-10-16 14:00:00
  * probe             : mms1 (Alias: mms1)
  * instrument        : None (Alias: None)
  * data_rate         : survey (Alias: survey)
  * data_type         : None (Alias: None)
  * data_level        : l2 (Alias: level_2)
  * ancillary_product : None (Alias: None)

By default, 'survey' is aliased to 'srvy' for fgm,scm,fsm,hpca,feeps, and 'fast' for edp,fpi. And the data variables are renamed to be more verbose. However, this can be customized by changing mmspy.config.

Note

The code still works if the actual values are provided in place of the aliases.

Tip

Print out mmspy.config to examine the default aliases.

fgm = mms.load(instrument="fgm")
fgm

26-Mar-20 03:51:50 [INFO] Query is set from 2015-10-16 08:00:00 to 2015-10-16 14:00:00.

26-Mar-20 03:51:53 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fgm/bfield/survey/level_2/zarr_2015_10_16_00_00_00.

26-Mar-20 03:51:53 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/conda/latest/lib/python3.12/site-packages/distributed/client.py:3374: UserWarning: Sending large graph of size 71.45 MiB.
This may cause some slowdown.
Consider loading the data with Dask directly
 or using futures or delayed objects to embed the data into the graph without repetition.
See also https://docs.dask.org/en/stable/best-practices.html#load-data-with-dask for more information.
  warnings.warn(

26-Mar-20 03:51:54 [INFO] Synchronized remote file mms1_fgm_srvy_l2_20151016_v4.18.0.cdf to local file zarr_2015_10_16_00_00_00.

26-Mar-20 03:51:55 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fgm/bfield/survey/level_2/zarr_2015_10_17_00_00_00.

26-Mar-20 03:51:55 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/conda/latest/lib/python3.12/site-packages/distributed/client.py:3374: UserWarning: Sending large graph of size 71.45 MiB.
This may cause some slowdown.
Consider loading the data with Dask directly
 or using futures or delayed objects to embed the data into the graph without repetition.
See also https://docs.dask.org/en/stable/best-practices.html#load-data-with-dask for more information.
  warnings.warn(

26-Mar-20 03:51:56 [INFO] Synchronized remote file mms1_fgm_srvy_l2_20151017_v4.18.0.cdf to local file zarr_2015_10_17_00_00_00.

26-Mar-20 03:51:56 [INFO] Synchronized remote store mms1/fgm/srvy/l2 to local store local/mms1/fgm/bfield/survey/level_2.

<xarray.Dataset> Size: 28MB
Dimensions:                       (time: 345596, rank_1: 3, ephemeris_time: 720)
Coordinates:
  * time                          (time) datetime64[ns] 3MB 2015-10-16T08:00:...
  * rank_1                        (rank_1) <U3 36B 'x' 'y' 'z'
  * ephemeris_time                (ephemeris_time) datetime64[ns] 6kB 2015-10...
Data variables: (12/13)
    bcs_magnetic_field            (time, rank_1) float32 4MB [nT] dask.array<...
    center_time_offset            (time) float32 1MB [s] dask.array<getitem, ...
    dmpa_magnetic_field           (time, rank_1) float32 4MB [nT] dask.array<...
    dynamical_range               (time) uint8 346kB [] dask.array<getitem, s...
    electronics_temperature       (time) float32 1MB [°C] dask.array<getitem,...
    ephemeris_center_time_offset  (time) float32 1MB [s] dask.array<getitem, ...
    ...                            ...
    gse_magnetic_field            (time, rank_1) float32 4MB [nT] dask.array<...
    gse_position                  (ephemeris_time, rank_1) float32 9kB [km] d...
    gsm_magnetic_field            (time, rank_1) float32 4MB [nT] dask.array<...
    gsm_position                  (ephemeris_time, rank_1) float32 9kB [km] d...
    instrument_mode               (time) float32 1MB [1/s] dask.array<getitem...
    sensor_temperature            (time) float32 1MB [°C] dask.array<getitem,...
Attributes: (12/38)
    Data_type:                   srvy_l2
    Descriptor:                  FGM>Flux Gate Magnetometer
    Discipline:                  Space Physics>Magnetospheric Science
    File_naming_convention:      source_descriptor_datatype_yyyyMMdd
    Generated_by:                UCLA
    Generation_date:             20160225
    ...                          ...
    size:                        66.233524 MB
    species:                     
    start_time:                  2015-10-16T00:00:13.330852139
    stop_time:                   2015-10-17T00:00:14.324999497
    timestamp:                   2015_10_16_00_00_00
    version:                     4.18.0

xarray.Dataset

• Dimensions:
  • time: 345596
  • rank_1: 3
  • ephemeris_time: 720
• Coordinates: (3)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.009373144 .....

    CATDESC :

    Interval centered time tag (TBC)

    DELTA_MINUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_bdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['2010-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.009373144', '2015-10-16T08:00:00.071873953',
           '2015-10-16T08:00:00.134374762', ..., '2015-10-16T13:59:59.851527653',
           '2015-10-16T13:59:59.914028462', '2015-10-16T13:59:59.976529271'],
          shape=(345596,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U3
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U3')

  • ephemeris_time
    (ephemeris_time)
    datetime64[ns]
    2015-10-16T08:00:24.248000 ... 2...

    CATDESC :

    Default time

    DELTA_MINUS_VAR :

    mms1_fgm_rdeltahalf_srvy_l2

    DELTA_PLUS_VAR :

    mms1_fgm_rdeltahalf_srvy_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2029-12-31T23:59:58.999000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:24.248000000', '2015-10-16T08:00:54.248000000',
           '2015-10-16T08:01:24.248000000', ..., '2015-10-16T13:58:54.248000000',
           '2015-10-16T13:59:24.248000000', '2015-10-16T13:59:54.248000000'],
          shape=(720,), dtype='datetime64[ns]')

• Data variables: (13)
  • bcs_magnetic_field
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Body Coordinate System cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    BCS>Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    original_name :

    b_bcs

    standard_name :

    Magnetic field vector in BCS plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • center_time_offset
    (time)
    float32
    [s] dask.array<getitem, shape=(3...

    CATDESC :

    Delta from center time to sample start/finish, sec

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0

    VALIDMIN :

    0.0010000000474974513

    long_name :

    mms1_fgm_bdeltahalf_srvy_l2

    original_name :

    bdeltahalf

    standard_name :

    mms1_fgm_bdeltahalf_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	second

  • dmpa_magnetic_field
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Despun MPA-aligned cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DMPA>Despun Major Principal Axis

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    VAR_NOTES :

    During nominal operatins in the region of interest, DMPA is within 3 degrees of GSE.

    original_name :

    b_dmpa

    standard_name :

    Magnetic field vector in DMPA plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • dynamical_range
    (time)
    uint8
    [] dask.array<getitem, shape=(34...

    CATDESC :

    1 = High Range, 0 = Low Range

    FILLVAL :

    255

    SCALETYP :

    linear

    VALIDMAX :

    2

    VALIDMIN :

    0

    long_name :

    mms1_fgm_hirange_srvy_l2

    original_name :

    hirange

    standard_name :

    mms1_fgm_hirange_srvy_l2

    Magnitude	Array Chunk Bytes 337.50 kiB 337.50 kiB Shape (345596,) (345596,) Dask graph 1 chunks in 5 graph layers Data type uint8 numpy.ndarray
    Units	dimensionless

  • electronics_temperature
    (time)
    float32
    [°C] dask.array<getitem, shape=(...

    CATDESC :

    Electronics Temperature smoothed four times with6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar

    FILLVAL :

    nan

    SCALETYP :

    linear

    VALIDMAX :

    1000.0

    VALIDMIN :

    -1000.0

    VAR_NOTES :

    Electronics Temperature smoothed four times with6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar. t_maxgap = 240; t_bmaxgap = 240

    long_name :

    mms1_fgm_etemp_srvy_l2

    original_name :

    etemp

    standard_name :

    mms1_fgm_etemp_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree_Celsius

  • ephemeris_center_time_offset
    (time)
    float32
    [s] dask.array<getitem, shape=(3...

    CATDESC :

    Median delta between ephemeris samples / 2, sec.

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    100.0

    VALIDMIN :

    1.0

    long_name :

    mms1_fgm_rdeltahalf_srvy_l2

    original_name :

    rdeltahalf

    standard_name :

    mms1_fgm_rdeltahalf_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	second

  • flag
    (time)
    uint32
    [] dask.array<getitem, shape=(34...

    CATDESC :

    0 = No identified problems, non-zero = blank out the data

    FILLVAL :

    4294967295

    SCALETYP :

    linear

    VALIDMAX :

    4294967281

    VALIDMIN :

    0

    VAR_NOTES :

    bit definitions: 0: TBD, 1: TBD, 2: user flagged, 3: TBD, 4: B1 saturated, 5: B2 saturated, 6: B3 saturated, 7: range-change glitch, 8-31: TBD

    long_name :

    mms1_fgm_flag_srvy_l2

    standard_name :

    mms1_fgm_flag_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • gse_magnetic_field
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Geocentric Solar Ecliptic (GSE) cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    original_name :

    b_gse

    standard_name :

    Magnetic field vector in GSE plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • gse_position
    (ephemeris_time, rank_1)
    float32
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Definitive Position in GSE coordinates, 30 second

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    1000000.0

    VALIDMIN :

    -1000000.0

    original_name :

    r_gse

    standard_name :

    mms1_fgm_r_gse_srvy_l2

    Magnitude	Array Chunk Bytes 8.44 kiB 2.81 kiB Shape (720, 3) (720, 1) Dask graph 3 chunks in 3 graph layers Data type float32 numpy.ndarray
    Units	kilometer

  • gsm_magnetic_field
    (time, rank_1)
    float32
    [nT] dask.array<getitem, shape=(...

    CATDESC :

    Magnetic field vector in Geocentric Solar Magnetospheric (GSM) cartesian coordinates plus Btotal (8 or 16 S/s)

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSM

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    [17000.0, 17000.0, 17000.0, 17000.0]

    VALIDMIN :

    [-17000.0, -17000.0, -17000.0, 0.0]

    original_name :

    b_gsm

    standard_name :

    Magnetic field vector in GSM plus Btotal (8 or 16 S/s)

    Magnitude	Array Chunk Bytes 3.96 MiB 325.52 kiB Shape (345596, 3) (83333, 1) Dask graph 15 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	nanotesla

  • gsm_position
    (ephemeris_time, rank_1)
    float32
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Definitive Position in GSM coordinates, 30 second

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSM

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    1000000.0

    VALIDMIN :

    -1000000.0

    original_name :

    r_gsm

    standard_name :

    mms1_fgm_r_gsm_srvy_l2

    Magnitude	Array Chunk Bytes 8.44 kiB 2.81 kiB Shape (720, 3) (720, 1) Dask graph 3 chunks in 3 graph layers Data type float32 numpy.ndarray
    Units	kilometer

  • instrument_mode
    (time)
    float32
    [1/s] dask.array<getitem, shape=...

    CATDESC :

    median rate (Samples/s) of the current instrument mode (NOT necessarily the rate of the L2 data, which may have been downsampled)

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    200.0

    VALIDMIN :

    2.0

    VAR_NOTES :

    8 = slow, 16 = fast, 128 = f128. Note that 128 S/s L1A data is decimated to 16 S/s in srvy L1B

    long_name :

    mms1_fgm_mode_srvy_l2

    original_name :

    mode

    standard_name :

    mms1_fgm_mode_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	1/second

  • sensor_temperature
    (time)
    float32
    [°C] dask.array<getitem, shape=(...

    CATDESC :

    Sensor Temperature smoothed four times with 6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar

    FILLVAL :

    nan

    SCALETYP :

    linear

    VALIDMAX :

    1000.0

    VALIDMIN :

    -1000.0

    VAR_NOTES :

    Sensor Temperature smoothed four times with 6-pt boxcar filter (/edge_truncate), linear interpolated to mag times, !C then smoothed with 798-pt boxcar. t_maxgap = 240; t_bmaxgap = 240

    long_name :

    mms1_fgm_stemp_srvy_l2

    original_name :

    stemp

    standard_name :

    mms1_fgm_stemp_srvy_l2

    Magnitude	Array Chunk Bytes 1.32 MiB 713.73 kiB Shape (345596,) (182716,) Dask graph 2 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree_Celsius

• Attributes: (38)

  Data_type :

  srvy_l2

  Descriptor :

  FGM>Flux Gate Magnetometer

  Discipline :

  Space Physics>Magnetospheric Science

  File_naming_convention :

  source_descriptor_datatype_yyyyMMdd

  Generated_by :

  UCLA

  Generation_date :

  20160225

  HTTP_LINK :

  ['http://mms.gsfc.nasa.gov/', 'http://mms.space.swri.edu/index.html', 'https://lasp.colorado.edu/mms/sdc', 'http://www-spc.igpp.ucla.edu/ssc/mms', 'http://www.iwf.oeaw.ac.at']

  Instrument_type :

  Magnetic Fields (space)

  LINK_TEXT :

  ['MMS home page', 'SMART package home page', 'Science Data Center', 'FGM team home page', 'FGM team']

  LINK_TITLE :

  ['at GSFC', 'at SWRI', 'at LASP', 'at UCLA', 'at IWF']

  Logical_file_id :

  mms1_fgm_srvy_l2_20151016_v4.18.0

  Logical_source :

  mms1_fgm_srvy_l2

  Logical_source_description :

  Level2 Flux Gate Magnetometer Combined Fast/Slow Survey DC Magnetic Field for MMS Satellite Number 1

  MODS :

  version X=4: First version for public release of L2. Renamed variables to conform with new MMS variable name guidelines (obs_instr_paramName[_coordSys]_mode_level): Mag field parameters include 'b' for paramName. Use 'r' instead of 'pos' for S/C position paramName. Eliminated 'rate', replaced with 'bdeltahalf'. Added 'rdeltahalf'. l1a_mode is now just 'mode'. version X=3: fixed removal of overlap between modes. fixed a bug that caused stemp and etemp to be empty. version X=2: flag parameter name corrected: was 'status' added bits 4, 5, 6 to flag saturation on B1, B2, and B3, respectively added bit 7 to flag bad data at range changes Added etemp and l1a_mode parameters. rate, hirange, and stemp parameters now comply with MMS CDF Guidlelines, e.g. FILLVAL now defined for stemp and etemp, and is set to !values.f_nan No longer use Var_Parents attribute in stemp -- see Parents instead In this version, temperature-corrected gains are applied. Reference temperatures are used when stemp or etemp are set to FILLVAL. Non-linearity correction is applied to high rage DFG data. version X=1: added 'flag', rate and hirange parameters (but 'flag' is actually called 'status')

  Mission_group :

  MMS

  PI_affiliation :

  SWRI, UCLA, IWF

  PI_name :

  J. Burch, C. Russell, W. Magnus

  Parents :

  ['CDF>mms1_afg_fast_l1a_20151016_v1.4.0', 'CDF>mms1_afg_slow_l1a_20151016_v1.4.0', 'CDF>mms1_fields_hk_l1b_10e_20151016_v0.3.3', 'MMS1_DEFATT_2015289_2015289.V00', 'MMS1_DEFATT_2015289_2015290.V00', 'MMS1_DEFEPH_2015288_2015289.V01', 'MMS1_DEFEPH_2015289_2015290.V01', 'CDF>mms1_afg_lorangecal_l2pre_20100101_v4.18.0', 'CDF>mms1_afg_hirangecal_l2pre_20100101_v4.18.0']

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  See MMS Data Rights and Rules for Use https://lasp.colorado.edu/galaxy/display/mms/MMS+Data+Rights+and+Rules+for+Data+Use

  Source_name :

  MMS1>MMS Satellite Number 1

  TEXT :

  ['The Fluxgate Magnetometers (FGM) on Magnetospheric Multiscale consist of a traditional Analog Fluxgate Magnetometer (AFG), and a Digital Fluxgate magnetometer (DFG). The dual magnetometers are operated as a single instrument providing a single intercalibrated data product. Range changes occur at different times on the two instruments so the gains checked each periapsis can be carried out unambiguously to apoapsis. Cross correlation of calibration parameters can separate causes of the any apparent calibration changes. Use of Electron Drift Instrument (EDI) to determine the field along the rotation axis allows accurate monitoring of the zero levels along the rotation axis. Prior to launch the magnetometers were calibrated at the Technical University, Braunschweig, except for the AFG magnetometers on MMS3 and MMS4, which were calibrated at UCLA. Both sets of sensors are operated for the entire MMS orbit, with slow survey (8 samples per second) outside of the Region of Interest (ROI), and fast survey (16 samples per second) inside the ROI. Within the ROI burst mode data (128 samples per second) are also acquired. A detailed description of the MMS fluxgate magnetometers, including science objectives, instrument description, calibration, magnetic cleanliness program, and data flow can be found at http://link.springer.com/article/10.1007%2Fs11214-014-0057-3 (DOI 10.1007/s11214-014-0057-3).Additional information can also be found at http://www-spc.igpp.ucla.edu/ssc/mms (UCLA),and http://www.iwf.oeaw.ac.at (IWF, Graz).', 'For the purpose of creating a unified FGM Level2 data product, burst mode data is taken from DFG and survey mode data is taken from AFG. Because AFG and DFG are cross-calibrated on an orbit-averaged basis, small differences in offset may be observed between Level2 burst and survey mode data. Consequently, any differences are within the error of the measurement. Based on preliminary analysis of the data, the absolute error within the Region of Interest (ROI) is estimated to be no more than 0.1 nT in the spin-plane, 0.15 nT along the spin-axis and 0.2 nT in total magnitude.']

  Time_resolution :

  0.0625 to 0.125 sec

  cdf_file_name :

  mms1_fgm_srvy_l2_20151016_v4.18.0.cdf

  data_level :

  l2

  data_rate :

  srvy

  data_type :

  None

  full_path :

  data.zarr/quick-overview/local/mms1/fgm/bfield/survey/level_2/zarr_2015_10_16_00_00_00

  instrument :

  fgm

  local_path :

  mms1/fgm/bfield/survey/level_2/zarr_2015_10_16_00_00_00

  modified_date :

  2016-02-26T04:29:05

  probe :

  mms1

  size :

  66.233524 MB

  species :

  start_time :

  2015-10-16T00:00:13.330852139

  stop_time :

  2015-10-17T00:00:14.324999497

  timestamp :

  2015_10_16_00_00_00

  version :

  4.18.0

edp = mms.load(instrument="edp", data_type="efield")
edp

26-Mar-20 03:51:56 [INFO] Query is set from 2015-10-16 08:00:00 to 2015-10-16 14:00:00.

26-Mar-20 03:51:59 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/edp/efield/survey/level_2/zarr_2015_10_16_00_00_00.

26-Mar-20 03:51:59 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/conda/latest/lib/python3.12/site-packages/distributed/client.py:3374: UserWarning: Sending large graph of size 110.75 MiB.
This may cause some slowdown.
Consider loading the data with Dask directly
 or using futures or delayed objects to embed the data into the graph without repetition.
See also https://docs.dask.org/en/stable/best-practices.html#load-data-with-dask for more information.
  warnings.warn(

26-Mar-20 03:52:00 [INFO] Synchronized remote file mms1_edp_fast_l2_dce_20151016_v2.1.0.cdf to local file zarr_2015_10_16_00_00_00.

26-Mar-20 03:52:02 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/edp/efield/survey/level_2/zarr_2015_10_17_00_00_00.

26-Mar-20 03:52:02 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/conda/latest/lib/python3.12/site-packages/distributed/client.py:3374: UserWarning: Sending large graph of size 110.73 MiB.
This may cause some slowdown.
Consider loading the data with Dask directly
 or using futures or delayed objects to embed the data into the graph without repetition.
See also https://docs.dask.org/en/stable/best-practices.html#load-data-with-dask for more information.
  warnings.warn(

26-Mar-20 03:52:03 [INFO] Synchronized remote file mms1_edp_fast_l2_dce_20151017_v2.1.0.cdf to local file zarr_2015_10_17_00_00_00.

26-Mar-20 03:52:03 [INFO] Synchronized remote store mms1/edp/fast/l2/dce to local store local/mms1/edp/efield/survey/level_2.

<xarray.Dataset> Size: 66MB
Dimensions:                        (time: 691191, rank_1: 3)
Coordinates:
  * time                           (time) datetime64[ns] 6MB 2015-10-16T08:00...
  * rank_1                         (rank_1) <U1 12B 'x' 'y' 'z'
Data variables:
    bitmask                        (time) uint16 1MB [] dask.array<getitem, s...
    dce_dsl_EdotBres               (time) float32 3MB [mV/m] dask.array<getit...
    dce_dsl_offset                 (time, rank_1) float32 8MB [mV/m] dask.arr...
    dce_dsl_res                    (time, rank_1) float32 8MB [mV/m] dask.arr...
    dce_dsl_sc0                    (time, rank_1) float32 8MB [mV/m] dask.arr...
    dce_err                        (time, rank_1) float32 8MB [mV/m] dask.arr...
    dsl_electric_field             (time, rank_1) float32 8MB [mV/m] dask.arr...
    gse_electric_field             (time, rank_1) float32 8MB [mV/m] dask.arr...
    parallel_electric_field        (time) float32 3MB [mV/m] dask.array<getit...
    parallel_electric_field_error  (time) float32 3MB [mV/m] dask.array<getit...
    quality                        (time) uint8 691kB [] dask.array<getitem, ...
    timestamp_half_width           int64 8B [ns] 15625000
Attributes: (12/38)
    Calibration_file:            /mms/itfhome/mms-fieldspro/cal/mms1_edp_fast...
    Data_type:                   fast_l2_dce
    Descriptor:                  EDP>Electric Double Probe
    Discipline:                  Space Physics>Magnetospheric Science
    File_naming_convention:      source_descriptor_datatype_yyyyMMddHHmmss
    Generated_by:                IRFU Matlab v1.10.0 and LASP IDL v8.4 while ...
    ...                          ...
    size:                        103.933807 MB
    species:                     
    start_time:                  2015-10-16T04:59:05.568476126
    stop_time:                   2015-10-16T16:33:56.077010429
    timestamp:                   2015_10_16_00_00_00
    version:                     2.1.0

xarray.Dataset

• Dimensions:
  • time: 691191
  • rank_1: 3
• Coordinates: (2)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:00.021513231 .....

    CATDESC :

    Time tags, in TT2000

    DELTA_MINUS_VAR :

    mms1_edp_deltap_fast_l2

    DELTA_PLUS_VAR :

    mms1_edp_deltap_fast_l2

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2100-01-01T00:00:00.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:00.021513231', '2015-10-16T08:00:00.052763636',
           '2015-10-16T08:00:00.084014040', ..., '2015-10-16T13:59:59.926176154',
           '2015-10-16T13:59:59.957426558', '2015-10-16T13:59:59.988676963'],
          shape=(691191,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

• Data variables: (12)
  • bitmask
    (time)
    uint16
    [] dask.array<getitem, shape=(69...

    CATDESC :

    Status bitmask

    FILLVAL :

    65535

    TENSOR_ORDER :

    0

    VALIDMAX :

    65534

    VALIDMIN :

    0

    standard_name :

    Status bitmask

    Magnitude	Array Chunk Bytes 1.32 MiB 0.95 MiB Shape (691191,) (500000,) Dask graph 3 chunks in 5 graph layers Data type uint16 numpy.ndarray
    Units	dimensionless

  • dce_dsl_EdotBres
    (time)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    EdotB residue

    FILLVAL :

    -9.999999848243207e+30

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    EdotB residue

    standard_name :

    mms1_edp_dce_dsl_EdotBres_fast_l2

    Magnitude	Array Chunk Bytes 2.64 MiB 0.95 MiB Shape (691191,) (250000,) Dask graph 4 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_dsl_offset
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    DCE field residue without S curve

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    DCE E residue w/o S curve

    standard_name :

    mms1_edp_dce_dsl_offset_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_dsl_res
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    E field difference between L2 output and L1 input

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    E residue

    standard_name :

    mms1_edp_dce_dsl_res_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_dsl_sc0
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    Amplitude of S curve corrections

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    amplitude of S curve correction

    standard_name :

    mms1_edp_dce_dsl_sc0_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dce_err
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    Approximate DC E field error derived rom SDP (quality and bitmask) and ADP (residue)

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    DCE E error

    standard_name :

    mms1_edp_dce_err_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • dsl_electric_field
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    L2 DC E Field calibrated for SDP and ADP

    COORDINATE_SYSTEM :

    DSL

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    DCE fast l2

    original_name :

    dce_dsl

    standard_name :

    mms1_edp_dce_dsl_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • gse_electric_field
    (time, rank_1)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    L2 DC E Field calibrated for SDP and ADP

    COORDINATE_SYSTEM :

    GSE

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    DCE fast l2

    original_name :

    dce_gse

    standard_name :

    mms1_edp_dce_gse_fast_l2

    Magnitude	Array Chunk Bytes 7.91 MiB 325.52 kiB Shape (691191, 3) (83333, 1) Dask graph 27 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • parallel_electric_field
    (time)
    float32
    [mV/m] dask.array<getitem, shape...

    CATDESC :

    L2 DC E parallel Field from calibrated SDP and ADP and assoc error

    COORDINATE_SYSTEM :

    FAC

    FILLVAL :

    -9.999999848243207e+30

    TENSOR_ORDER :

    1

    VALIDMAX :

    700.0

    VALIDMIN :

    -700.0

    long_name :

    E parallel fast l2

    original_name :

    dce_par_epar

    standard_name :

    mms1_edp_dce_par_epar_fast_l2

    Magnitude	Array Chunk Bytes 2.64 MiB 0.95 MiB Shape (691191,) (250000,) Dask graph 4 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • parallel_electric_field_error
    (time)
    float32
    [mV/m] dask.array<getitem, shape...

    original_name :

    dce_par_epar_err

    Magnitude	Array Chunk Bytes 2.64 MiB 0.95 MiB Shape (691191,) (250000,) Dask graph 4 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	millivolt/meter

  • quality
    (time)
    uint8
    [] dask.array<getitem, shape=(69...

    CATDESC :

    Quality indicator (3 good), (2 ok data, use with some caution), (1 bad data, use with caution), (0 Really bad data or no data at all)

    FILLVAL :

    255

    TENSOR_ORDER :

    0

    VALIDMAX :

    4

    VALIDMIN :

    0

    standard_name :

    Quality indicator

    Magnitude	Array Chunk Bytes 674.99 kiB 637.37 kiB Shape (691191,) (652662,) Dask graph 2 chunks in 5 graph layers Data type uint8 numpy.ndarray
    Units	dimensionless

  • timestamp_half_width
    ()
    int64
    [ns] 15625000

    CATDESC :

    Delta plus/minus, time interval during which the data was measured

    FILLVAL :

    -9223372036854775808

    VALIDMAX :

    62500000

    VALIDMIN :

    30517

    original_name :

    deltap

    standard_name :

    Delta plus/minus

    15625000 nanosecond
• Attributes: (38)

  Calibration_file :

  /mms/itfhome/mms-fieldspro/cal/mms1_edp_fast_l2_dce_v2.1.1

  Data_type :

  fast_l2_dce

  Descriptor :

  EDP>Electric Double Probe

  Discipline :

  Space Physics>Magnetospheric Science

  File_naming_convention :

  source_descriptor_datatype_yyyyMMddHHmmss

  Generated_by :

  IRFU Matlab v1.10.0 and LASP IDL v8.4 while running at SDC.

  Generation_date :

  20170831

  HTTP_LINK :

  https://mms.gsfc.nasa.gov/

  Instrument_type :

  Electric Fields (space)

  LINK_TEXT :

  Magnetospheric Multiscale (MMS) mission home page

  LINK_TITLE :

  At NASA GSFC

  Logical_file_id :

  mms1_edp_fast_l2_dce_20151016_v2.1.0

  Logical_source :

  mms1_edp_fast_l2_dce_20151016

  Logical_source_description :

  MMS1 L2 (fast), 3D Electric field

  MODS :

  V.0. Initial release.

  Mission_group :

  MMS

  PI_affiliation :

  SWRI, LASP, KTH

  PI_name :

  J.Burch, R.Ergun, P.Lindqvist.

  Parents :

  ['CDF>mms1_edp_fast_l2pre_dce_20151016_v2.1.1', 'CDF>mms1_afg_srvy_l2pre_20151016_v5.18.0', 'CDF>mms1_edp_fast_l2_scpot_20151016000000_v2.4.0', 'CDF>mms1_mec_srvy_l2_ephts04d_20151016_v2.0.0']

  Project :

  STP>Solar-Terrestrial Physics

  Skeleton_version :

  v0.0.7

  Source_name :

  MMS1>MMS Satellite Number 1

  TEXT :

  ['https://mms.gsfc.nasa.gov/', 'For detailed timing information, such as needed for cross spectral analysis, please consult the EDP Data Products Guide.']

  cdf_file_name :

  mms1_edp_fast_l2_dce_20151016_v2.1.0.cdf

  data_level :

  l2

  data_rate :

  fast

  data_type :

  dce

  full_path :

  data.zarr/quick-overview/local/mms1/edp/efield/survey/level_2/zarr_2015_10_16_00_00_00

  instrument :

  edp

  local_path :

  mms1/edp/efield/survey/level_2/zarr_2015_10_16_00_00_00

  modified_date :

  2017-08-31T05:47:31

  probe :

  mms1

  size :

  103.933807 MB

  species :

  start_time :

  2015-10-16T04:59:05.568476126

  stop_time :

  2015-10-16T16:33:56.077010429

  timestamp :

  2015_10_16_00_00_00

  version :

  2.1.0

fpi = mms.load(instrument="fpi", data_type="ion_moments")
fpi

26-Mar-20 03:52:04 [INFO] Query is set from 2015-10-16 08:00:00 to 2015-10-16 14:00:00.

26-Mar-20 03:52:04 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/ion_moments/survey/level_2/zarr_2015_10_16_06_00_00.

26-Mar-20 03:52:04 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016060000_v3.4.0.cdf to local file zarr_2015_10_16_06_00_00.

26-Mar-20 03:52:05 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/ion_moments/survey/level_2/zarr_2015_10_16_08_00_00.

26-Mar-20 03:52:05 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0.cdf to local file zarr_2015_10_16_08_00_00.

26-Mar-20 03:52:06 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/ion_moments/survey/level_2/zarr_2015_10_16_10_00_00.

26-Mar-20 03:52:06 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016100000_v3.4.0.cdf to local file zarr_2015_10_16_10_00_00.

26-Mar-20 03:52:06 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/ion_moments/survey/level_2/zarr_2015_10_16_12_00_00.

26-Mar-20 03:52:07 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016120000_v3.4.0.cdf to local file zarr_2015_10_16_12_00_00.

26-Mar-20 03:52:07 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/ion_moments/survey/level_2/zarr_2015_10_16_14_00_00.

26-Mar-20 03:52:08 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016140000_v3.4.0.cdf to local file zarr_2015_10_16_14_00_00.

26-Mar-20 03:52:08 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/ion_moments/survey/level_2/zarr_2015_10_16_16_00_00.

26-Mar-20 03:52:08 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151016160000_v3.4.0.cdf to local file zarr_2015_10_16_16_00_00.

26-Mar-20 03:52:09 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/fpi/ion_moments/survey/level_2/zarr_2015_10_17_04_00_00.

26-Mar-20 03:52:09 [INFO] Synchronized remote file mms1_fpi_fast_l2_dis-moms_20151017040000_v3.4.0.cdf to local file zarr_2015_10_17_04_00_00.

26-Mar-20 03:52:09 [INFO] Synchronized remote store mms1/fpi/fast/l2/dis-moms to local store local/mms1/fpi/ion_moments/survey/level_2.

<xarray.Dataset> Size: 7MB
Dimensions:                           (time: 4800, rank_1: 3, rank_2: 6,
                                       energy_channel: 32)
Coordinates:
  * time                              (time) datetime64[ns] 38kB 2015-10-16T0...
  * rank_1                            (rank_1) <U1 12B 'x' 'y' 'z'
  * rank_2                            (rank_2) <U2 48B 'xx' 'yy' ... 'xz' 'yz'
  * energy_channel                    (energy_channel) int8 32B 0 1 2 ... 30 31
    energy                            (time, energy_channel) float32 614kB [eV] dask.array<getitem, shape=(4800, 32), dtype=float32, chunksize=(1600, 32), chunktype=numpy.ndarr...
Data variables: (12/37)
    background_energy_spectrum        (time) float32 19kB [1/cm²/s/sr] dask.a...
    background_number_density         (time) float32 19kB [1/cm³] dask.array<...
    background_pressure               (time) float32 19kB [nPa] dask.array<ge...
    compression_loss                  (time) uint8 5kB [] 1 1 1 1 1 ... 1 1 1 1
    dbcs_bulk_velocity                (time, rank_1) float32 58kB [km/s] dask...
    dbcs_bulk_velocity_error          (time, rank_1) float32 58kB [km/s] dask...
    ...                                ...
    perpendicular_temperature         (time) float32 19kB [eV] dask.array<get...
    positive_x_energy_spectrum        (time, energy_channel) float32 614kB [1/cm²/s/sr] dask.array<getitem, shape=(4800, 32), dtype=float32, chunksize=(1600, 32), chunktype=num...
    positive_y_energy_spectrum        (time, energy_channel) float32 614kB [1/cm²/s/sr] dask.array<getitem, shape=(4800, 32), dtype=float32, chunksize=(1600, 32), chunktype=num...
    positive_z_energy_spectrum        (time, energy_channel) float32 614kB [1/cm²/s/sr] dask.array<getitem, shape=(4800, 32), dtype=float32, chunksize=(1600, 32), chunktype=num...
    spin_phase_angle                  (time) float32 19kB [deg] dask.array<ge...
    spin_phase_count                  (time) uint16 10kB [] dask.array<getite...
Attributes: (12/57)
    Correction_table_name:                mms1_dis_fast_f1ct_v21-0211_0222_p0...
    Correction_table_rev:                 7825
    Correction_table_scaling_factor:      1.00000
    Data_type:                            fast_l2_dis-moms
    Dead_time_correction:                 100 ns
    Descriptor:                           DIS>Dual Ion Spectrometers
    ...                                   ...
    size:                                 2.240963 MB
    species:                              ion
    start_time:                           2015-10-16T08:00:03.908768999
    stop_time:                            2015-10-16T09:59:59.457722999
    timestamp:                            2015_10_16_08_00_00
    version:                              3.4.0

xarray.Dataset

• Dimensions:
  • time: 4800
  • rank_1: 3
  • rank_2: 6
  • energy_channel: 32
• Coordinates: (5)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:03.908768999 .....

    CATDESC :

    Centered timestamps

    DELTA_MINUS_VAR :

    Epoch_minus_var

    DELTA_PLUS_VAR :

    Epoch_plus_var

    FILLVAL :

    ['NaT']

    MONOTON :

    INCREASE

    REFERENCE_POSITION :

    Rotating Earth Geoid

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2099-12-31T23:59:59.000000000']

    VALIDMIN :

    ['1990-01-01T00:00:00.000000000']

    VAR_NOTES :

    MMS1 FPI/DIS survey data begin-time; derived from survey packet time.

    standard_name :

    Time

    array(['2015-10-16T08:00:03.908768999', '2015-10-16T08:00:08.408801999',
           '2015-10-16T08:00:12.908828999', ..., '2015-10-16T13:59:50.557325999',
           '2015-10-16T13:59:55.057353999', '2015-10-16T13:59:59.557388999'],
          shape=(4800,), dtype='datetime64[ns]')

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

  • rank_2
    (rank_2)
    <U2
    'xx' 'yy' 'zz' 'xy' 'xz' 'yz'

    array(['xx', 'yy', 'zz', 'xy', 'xz', 'yz'], dtype='<U2')

  • energy_channel
    (energy_channel)
    int8
    0 1 2 3 4 5 6 ... 26 27 28 29 30 31

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], dtype=int8)

  • energy
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map energies

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_energy_delta_fast

    DELTA_PLUS_VAR :

    mms1_dis_energy_delta_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    30000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Geometric mean of parity 0 and parity 1 energies in the 64-step FPI energy table

    long_name :

    energy

    original_name :

    energy

    standard_name :

    MMS1 FPI/DIS energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

• Data variables: (37)
  • background_energy_spectrum
    (time)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion background energy during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_spect_bg

    original_name :

    spectr_bg

    standard_name :

    MMS1 FPI/DIS spectr_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • background_number_density
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion background number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Background number density derived via integration of the estimated background differential energy flux.

    long_name :

    N_bg

    original_name :

    numberdensity_bg

    standard_name :

    MMS1 FPI/DIS background number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • background_pressure
    (time)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion background pressure during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    long_name :

    DEF_pres_bg

    original_name :

    pres_bg

    standard_name :

    MMS1 FPI/DIS pres_bg

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • compression_loss
    (time)
    uint8
    [] 1 1 1 1 1 1 1 ... 1 1 1 1 1 1 1

    CATDESC :

    MMS1 FPI/DIS compression lossless/lossy indicator at survey-start time

    FILLVAL :

    255

    SCALETYP :

    linear

    VALIDMAX :

    1

    VALIDMIN :

    0

    VAR_NOTES :

    FPI/DIS compression loss indicator, 0=lossless, 1=lossy

    long_name :

    compressFlag

    original_name :

    compressionloss

    standard_name :

    MMS1 FPI/DIS compression flag

    Magnitude	[1 1 1 ... 1 1 1]
    Units	dimensionless

  • dbcs_bulk_velocity
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    original_name :

    bulkv_dbcs

    standard_name :

    MMS1 FPI/DIS DBCS bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • dbcs_bulk_velocity_error
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    original_name :

    bulkv_err

    standard_name :

    MMS1 FPI/DIS bulk v error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • dbcs_heat_flux
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    original_name :

    heatq_dbcs

    standard_name :

    MMS1 FPI/DIS DBCS heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • dbcs_heat_flux_error
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux error vector during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    5000000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    original_name :

    heatq_err

    standard_name :

    MMS1 FPI/DIS heatq error

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • dbcs_pressure_tensor
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_DBCS

    original_name :

    prestensor_dbcs

    standard_name :

    MMS1 FPI/DIS DBCS pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • dbcs_pressure_tensor_error
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    200000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    P_err

    original_name :

    prestensor_err

    standard_name :

    MMS1 FPI/DIS pres error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • dbcs_spintone_velocity
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    original_name :

    bulkv_spintone_dbcs

    standard_name :

    MMS1 FPI/DIS DBCS bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • dbcs_temperature_tensor
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_DBCS

    original_name :

    temptensor_dbcs

    standard_name :

    MMS1 FPI/DIS DBCS temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • dbcs_temperature_tensor_error
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    DBCS>Despun Body Coordinate System

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    60000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Error can be applied to either DBCS or GSE coordinate system

    long_name :

    T_err

    original_name :

    temptensor_err

    standard_name :

    MMS1 FPI/DIS DBCS temp error

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • delta_start_time
    (time)
    float32
    [s] 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0

    CATDESC :

    MMS1 FPI/DIS epoch minus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    original_name :

    Epoch_minus_var

    standard_name :

    MMS1 FPI/DIS epoch minus var

    Magnitude	[0.0 0.0 0.0 ... 0.0 0.0 0.0]
    Units	second

  • delta_stop_time
    (time)
    float32
    [s] 4.5 4.5 4.5 4.5 ... 4.5 4.5 4.5

    CATDESC :

    MMS1 FPI/DIS epoch plus var

    CDF_DATA_TYPE :

    CDF_REAL4

    VALIDMAX :

    4.5

    VALIDMIN :

    0.0

    original_name :

    Epoch_plus_var

    standard_name :

    MMS1 FPI/DIS epoch plus var

    Magnitude	[4.5 4.5 4.5 ... 4.5 4.5 4.5]
    Units	second

  • energy_width
    (time, energy_channel)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS fast survey sky-map delta energies

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    5000.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Note that the deltas are provided to indicate that FPI is reporting the energy bin centers. These do not necessarily reflect the energy bandwidth that is sampled by FPI at a given energy step.

    long_name :

    delta energy

    original_name :

    energy_delta

    standard_name :

    MMS1 FPI/DIS delta energy

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • flag
    (time)
    uint32
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS vector of data-quality indicators at survey-start time

    FILLVAL :

    4294967295

    SCALETYP :

    linear

    VALIDMAX :

    4294967294

    VALIDMIN :

    0

    VAR_NOTES :

    Value of zero signifies no quality errors. For non-zero values: Bit-0 = manually flagged interval, Bit-1 = overcounting/saturation effects likely present in skymap, Bit-2 = reported spacecraft potential above 20V, Bit-3 = invalid/unavailable spacecraft potential, Bit-4 = significant (>10%) cold plasma (<10eV) component, Bit-5 = significant (>25%) hot plasma (>30keV) component, Bit-6 = high sonic Mach number (v/vth > 2.5), Bit-7 = low calculated density (n_DIS <= 0.0 cm^-3), Bit-8 = bentPipe magnetic field used instead of srvy l2pre magnetic field, Bit-10 = no internally generated photoelectron correction applied, Bit-11 = compression pipeline error, Bit-12 = spintone calculation error (DBCS only), Bit-13 = significant (>=20%) penetrating radiation, Bit-14 = high MMS3 spintone due to DIS008 anomaly

    long_name :

    errFlags

    original_name :

    errorflags

    standard_name :

    MMS1 FPI/DIS dataQuality errorFlags

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint32 numpy.ndarray
    Units	dimensionless

  • gse_bulk_velocity
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_bulkv_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_bulkv_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    original_name :

    bulkv_gse

    standard_name :

    MMS1 FPI/DIS GSE bulk v

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • gse_heat_flux
    (time, rank_1)
    float32
    [mW/m²] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion heat-flux vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_heatq_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_heatq_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500000.0

    VALIDMIN :

    -2500000.0

    original_name :

    heatq_gse

    standard_name :

    MMS1 FPI/DIS GSE heatq

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	milliwatt/meter2

  • gse_pressure_tensor
    (time, rank_2)
    float32
    [nPa] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS ion pressure tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_prestensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_prestensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    100000.0

    VALIDMIN :

    -100000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Pxx Pxy Pxz, Row2) Pyx Pyy Pyz, Row3) Pzx Pzy Pzz. Note that Pij=Pji.

    long_name :

    P_GSE

    original_name :

    prestensor_gse

    standard_name :

    MMS1 FPI/DIS GSE pres tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	nanopascal

  • gse_spintone_velocity
    (time, rank_1)
    float32
    [km/s] dask.array<getitem, shape...

    CATDESC :

    MMS1 FPI/DIS ion bulk-velocity estimated spintone vector in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    TENSOR_ORDER :

    1

    VALIDMAX :

    2500.0

    VALIDMIN :

    -2500.0

    VAR_NOTES :

    Estimated systematic error (positive or negative) in spin-plane bulk velocity (km/s) due to imperfect sensor suite flat-fielding. This can be subtracted from bulk velocity to obtain the corrected velocity vector.

    original_name :

    bulkv_spintone_gse

    standard_name :

    MMS1 FPI/DIS GSE bulk v spintone

    Magnitude	Array Chunk Bytes 56.25 kiB 6.25 kiB Shape (4800, 3) (1600, 1) Dask graph 9 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	kilometer/second

  • gse_temperature_tensor
    (time, rank_2)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion temperature tensor in GSE during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    COORDINATE_SYSTEM :

    GSE>Geocentric Solar Ecliptic

    DELTA_MINUS_VAR :

    mms1_dis_temptensor_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_temptensor_err_fast

    FILLVAL :

    -9.999999848243207e+30

    LABL_PTR_2 :

    mms1_dis_cartrep_fast

    REPRESENTATION_2 :

    mms1_dis_cartrep_fast

    SCALETYP :

    linear

    TENSOR_ORDER :

    2

    VALIDMAX :

    30000.0

    VALIDMIN :

    -30000.0

    VAR_NOTES :

    The 3x3 matrix is represented as: Row1) Txx Txy Txz, Row2) Tyx Tyy Tyz, Row3) Tzx Tzy Tzz. Note that Tij=Tji.

    long_name :

    T_GSE

    original_name :

    temptensor_gse

    standard_name :

    MMS1 FPI/DIS GSE temp tensor

    Magnitude	Array Chunk Bytes 112.50 kiB 6.25 kiB Shape (4800, 6) (1600, 1) Dask graph 18 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • high_energy_extrapolated_density
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to infinity) contribution to density integral above 30keV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    original_name :

    densityextrapolation_high

    standard_name :

    MMS1 FPI/DIS density extrapolation (high)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • low_energy_extrapolated_density
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS estimated (via extrapolation to 0) contribution to density integral below 10eV

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    original_name :

    densityextrapolation_low

    standard_name :

    MMS1 FPI/DIS density extrapolation (low)

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • negative_x_energy_spectrum
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -x axis (instrument look angles: 45deg <= theta < 135deg and phi >= 315deg or phi < 45deg).

    long_name :

    DEF_mx

    original_name :

    energyspectr_mx

    standard_name :

    MMS1 FPI/DIS energySpectr_mX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • negative_y_energy_spectrum
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -y axis (instrument look angles: 45deg <= theta < 135deg and 45deg <= phi < 135deg).

    long_name :

    DEF_my

    original_name :

    energyspectr_my

    standard_name :

    MMS1 FPI/DIS energySpectr_mY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • negative_z_energy_spectrum
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" -Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the -z axis (instrument look angles: 0deg <= theta < 45deg and 0deg <= phi < 360deg).

    long_name :

    DEF_mz

    original_name :

    energyspectr_mz

    standard_name :

    MMS1 FPI/DIS energySpectr_mZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • number_density
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DELTA_MINUS_VAR :

    mms1_dis_numberdensity_err_fast

    DELTA_PLUS_VAR :

    mms1_dis_numberdensity_err_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N

    original_name :

    numberdensity

    standard_name :

    MMS1 FPI/DIS number density

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • number_density_error
    (time)
    float32
    [1/cm³] dask.array<getitem, shap...

    CATDESC :

    MMS1 FPI/DIS ion number density error during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    100000.0

    VALIDMIN :

    0.0

    long_name :

    N_err

    original_name :

    numberdensity_err

    standard_name :

    MMS1 FPI/DIS number density error

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/centimeter3

  • omnidirectional_energy_spectrum
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS omni-directional ion energy spectrum during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over all directions (flow or look).

    long_name :

    DEF_omni

    original_name :

    energyspectr_omni

    standard_name :

    MMS1 FPI/DIS energySpectr_omni

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • parallel_temperature
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion parallel temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_para

    original_name :

    temppara

    standard_name :

    MMS1 FPI1/DIS tempPara

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • perpendicular_temperature
    (time)
    float32
    [eV] dask.array<getitem, shape=(...

    CATDESC :

    MMS1 FPI/DIS ion perpendicular temperature during this BP

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    long_name :

    eT_perp

    original_name :

    tempperp

    standard_name :

    MMS1 FPI1/DIS tempPerp

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	electron_volt

  • positive_x_energy_spectrum
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +X_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +x axis (instrument look angles: 45deg <= theta < 135deg and 135deg <= phi < 225deg).

    long_name :

    DEF_px

    original_name :

    energyspectr_px

    standard_name :

    MMS1 FPI/DIS energySpectr_pX

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • positive_y_energy_spectrum
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Y_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +y axis (instrument look angles: 45deg <= theta < 135deg and 225deg <= phi < 315deg).

    long_name :

    DEF_py

    original_name :

    energyspectr_py

    standard_name :

    MMS1 FPI/DIS energySpectr_pY

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • positive_z_energy_spectrum
    (time, energy_channel)
    float32
    [1/cm²/s/sr] dask.array<getitem,...

    CATDESC :

    MMS1 FPI/DIS ion energy spectrum "near" +Z_DBCS during this survey

    CDF_DATA_TYPE :

    CDF_REAL4

    DEPEND_1 :

    mms1_dis_energy_fast

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    log

    VALIDMAX :

    1.0000000150474662e+30

    VALIDMIN :

    0.0

    VAR_NOTES :

    Differential energy flux by energy bin, averaged (weighted by solid angle) over particles whose DBCS flow direction is within 45 degrees (polar and azimuthal) of the +z axis (instrument look angles: 135deg <= theta < 180deg and 0deg <= phi < 360deg).

    long_name :

    DEF_pz

    original_name :

    energyspectr_pz

    standard_name :

    MMS1 FPI/DIS energySpectr_pZ

    Magnitude	Array Chunk Bytes 600.00 kiB 200.00 kiB Shape (4800, 32) (1600, 32) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	1/(centimeter2 second steradian)

  • spin_phase_angle
    (time)
    float32
    [deg] dask.array<getitem, shape=...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) angle at survey-start time

    CDF_DATA_TYPE :

    CDF_REAL4

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    360.0

    VALIDMIN :

    0.0

    VAR_NOTES :

    Nominally, spin-phase angles range over [0, 360) deg. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_ang

    original_name :

    startdelphi_angle

    standard_name :

    MMS1 FPI/DIS start Del-Phi angle

    Magnitude	Array Chunk Bytes 18.75 kiB 6.25 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type float32 numpy.ndarray
    Units	degree

  • spin_phase_count
    (time)
    uint16
    [] dask.array<getitem, shape=(48...

    CATDESC :

    MMS1 FPI/DIS Del-Phi (obs spin-phase) count at survey-start time

    FILLVAL :

    65535

    SCALETYP :

    linear

    VALIDMAX :

    5761

    VALIDMIN :

    0

    VAR_NOTES :

    Nominally, spin-phase counts range over [0000, 5759] cnts. Each count represents 1/16 deg of observatory spin-phase. Zero spin-phase angle indicates obs +X-axis aligned with the sun-sensor axis.

    long_name :

    DelPhi_cnt

    original_name :

    startdelphi_count

    standard_name :

    MMS1 FPI/DIS start Del-Phi count

    Magnitude	Array Chunk Bytes 9.38 kiB 3.12 kiB Shape (4800,) (1600,) Dask graph 3 chunks in 9 graph layers Data type uint16 numpy.ndarray
    Units	dimensionless

• Attributes: (57)

  Correction_table_name :

  mms1_dis_fast_f1ct_v21-0211_0222_p0-2.cdf

  Correction_table_rev :

  7825

  Correction_table_scaling_factor :

  1.00000

  Data_type :

  fast_l2_dis-moms

  Dead_time_correction :

  100 ns

  Descriptor :

  DIS>Dual Ion Spectrometers

  Discipline :

  Space Physics>Magnetospheric Science

  Energy_e0 :

  100.00eV

  Energy_table_name :

  energies_dis_0-2.txt

  File_naming_convention :

  source_descriptor_datatype_yyyyMMddHHmmss

  Generated_by :

  FPI ITF, NASA/GSFC Code 673

  Generation_date :

  Tue Aug 8 02:06:43 2023

  Generation_site :

  ITF

  HTTP_LINK :

  ['http://mms.gsfc.nasa.gov', 'http://mms.space.swri.edu', 'http://lasp.colorado.edu/mms/sdc', 'http://www.nasa.gov/mission_pages/mms/spacecraft/instruments.html#fpi']

  High_energy_extrapolation :

  Enabled

  Instrument_type :

  ['Plasma and Solar Wind', 'Particles (space)']

  LINK_TEXT :

  ['MMS home page', 'SMART package home page', 'Science Data Center', 'FPI overview']

  LINK_TITLE :

  ['at GSFC', 'at SWRI', 'at LASP', 'at NASA']

  Logical_file_id :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0

  Logical_source :

  mms1_fpi_fast_l2_dis-moms

  Logical_source_description :

  MMS Satellite Number 1 Dual Ion Spectrometer FastSurvey-resolution distribution moments

  Low_energy_extrapolation :

  Disabled

  Lower_energy_integration_limit :

  10.00eV

  MODS :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for data set modification history.

  Magnetic_field_filenames :

  mms1_fgm_srvy_l2_20151016_v4.18.0.cdf mms1_fgm_srvy_l2_20151017_v4.18.0.cdf

  Mission_group :

  MMS

  PI_affiliation :

  SwRI, GSFC

  PI_name :

  J. Burch, B. Giles

  Project :

  STP>Solar-Terrestrial Physics

  Rules_of_use :

  See FPI Version Release Notes (https://lasp.colorado.edu/mms/sdc/public/datasets/fpi/) for rules of use.

  Scp_energy_fraction :

  1.00eV

  Skeleton_revdate :

  $Date: 2023-03-27 12:39:23 -0400 (Mon, 27 Mar 2023) $

  Skeleton_version :

  $Revision: 9858 $

  Skymap_avgN :

  1

  Source_name :

  MMS1>MMS Satellite Number 1

  Spacecraft_attitude_filenames :

  MMS1_DEFATT_2015289_2015289.V00

  Spacecraft_potential_filenames :

  mms1_edp_fast_l2_scpot_20151016000000_v2.7.0.cdf mms1_edp_fast_l2_scpot_20151017000000_v2.7.0.cdf

  Spacecraft_potential_offset :

  0.0

  Spacecraft_potential_scaling_factor :

  1.0

  TEXT :

  FPI usually operates in Fast Survey (FS) Mode in the MMS Region Of Interest (ROI) for the current Mission Phase. Data are taken at burst (30/150 ms for DES/DIS) resolution in this mode. Data are also made available at survey (4.5 s) resolution. Per mission design, not all burst-resolution data are downlinked, but all survey data are downlinked. Planning around calibration activities, avoidance of Earth radiation belts, etc, when possible, FPI usually operates in Slow Survey (SS) Mode (60 s resolution) outside of ROI. This moments product contains results from integrating the standard moments of phase-space distributions formed from the indicated data type (DES/DIS burst, FS or SS). For convenience, some additional parameters are included to augment those most commonly found in a moments product of this sort, plus time-stamps and other annotation characterizing the state of the instrument system at the indicated time.

  Time_resolution :

  4.5 seconds

  Upper_energy_integration_limit :

  30000.00eV

  cdf_file_name :

  mms1_fpi_fast_l2_dis-moms_20151016080000_v3.4.0.cdf

  data_level :

  l2

  data_rate :

  fast

  data_type :

  dis-moms

  full_path :

  data.zarr/quick-overview/local/mms1/fpi/ion_moments/survey/level_2/zarr_2015_10_16_08_00_00

  instrument :

  fpi

  local_path :

  mms1/fpi/ion_moments/survey/level_2/zarr_2015_10_16_08_00_00

  modified_date :

  2023-08-08T06:06:43

  probe :

  mms1

  size :

  2.240963 MB

  species :

  ion

  start_time :

  2015-10-16T08:00:03.908768999

  stop_time :

  2015-10-16T09:59:59.457722999

  timestamp :

  2015_10_16_08_00_00

  version :

  3.4.0

feeps = mms.load(instrument="feeps", data_type="ion_distribution")
feeps

26-Mar-20 03:52:09 [INFO] Query is set from 2015-10-16 08:00:00 to 2015-10-16 14:00:00.

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:10 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:11 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/feeps/ion_distribution/survey/level_2/zarr_2015_10_16_00_00_00.

26-Mar-20 03:52:11 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/conda/latest/lib/python3.12/site-packages/distributed/client.py:3374: UserWarning: Sending large graph of size 50.94 MiB.
This may cause some slowdown.
Consider loading the data with Dask directly
 or using futures or delayed objects to embed the data into the graph without repetition.
See also https://docs.dask.org/en/stable/best-practices.html#load-data-with-dask for more information.
  warnings.warn(

26-Mar-20 03:52:12 [INFO] Synchronized remote file mms1_feeps_srvy_l2_ion_20151016000000_v7.1.2.cdf to local file zarr_2015_10_16_00_00_00.

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:117: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:13 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:144: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'sensor' ('sensor',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for join will change from join='outer' to join='exact'. This change will result in the following ValueError: cannot be aligned with join='exact' because index/labels/sizes are not equal along these coordinates (dimensions): 'eye' ('eye',) The recommendation is to set join explicitly for this case.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/checkouts/latest/src/mmspy/api/processors/feeps.py:162: FutureWarning: In a future version of xarray the default value for compat will change from compat='no_conflicts' to compat='override'. This is likely to lead to different results when combining overlapping variables with the same name. To opt in to new defaults and get rid of these warnings now use `set_options(use_new_combine_kwarg_defaults=True) or set compat explicitly.
  reindexed_dataset = reindexed_dataset.merge(

26-Mar-20 03:52:14 [INFO] Writing dataset to data.zarr/quick-overview/local/mms1/feeps/ion_distribution/survey/level_2/zarr_2015_10_17_00_00_00.

26-Mar-20 03:52:14 [WARN] /home/docs/checkouts/readthedocs.org/user_builds/mmspy/conda/latest/lib/python3.12/site-packages/distributed/client.py:3374: UserWarning: Sending large graph of size 50.96 MiB.
This may cause some slowdown.
Consider loading the data with Dask directly
 or using futures or delayed objects to embed the data into the graph without repetition.
See also https://docs.dask.org/en/stable/best-practices.html#load-data-with-dask for more information.
  warnings.warn(

26-Mar-20 03:52:14 [INFO] Synchronized remote file mms1_feeps_srvy_l2_ion_20151017000000_v7.1.2.cdf to local file zarr_2015_10_17_00_00_00.

26-Mar-20 03:52:14 [INFO] Synchronized remote store mms1/feeps/srvy/l2/ion to local store local/mms1/feeps/ion_distribution/survey/level_2.

<xarray.Dataset> Size: 23MB
Dimensions:                (time: 8927, sensor: 2, eye: 3, energy_channel: 16,
                            rank_1: 3, spin_sector: 64)
Coordinates:
  * time                   (time) datetime64[ns] 71kB 2015-10-16T08:00:02.314...
  * sensor                 (sensor) <U6 48B 'bottom' 'top'
  * eye                    (eye) int64 24B 6 7 8
  * energy_channel         (energy_channel) int64 128B 0 1 2 3 4 ... 12 13 14 15
  * rank_1                 (rank_1) <U1 12B 'x' 'y' 'z'
  * spin_sector            (spin_sector) int64 512B 0 1 2 3 4 ... 59 60 61 62 63
    energy                 (sensor, eye, energy_channel) float64 768B [keV] d...
    pitch_angle            (time, sensor, eye) float32 214kB [deg] dask.array...
Data variables: (12/23)
    count_rate             (time, sensor, eye, energy_channel) float64 7MB [count/s] dask.array<getitem, shape=(8927, 2, 3, 16), dtype=float64, chunksize=(1302, 2, 3, 16), chunktype=numpy....
    energy_lower_bound     (sensor, eye, energy_channel) float64 768B [keV] d...
    energy_upper_bound     (sensor, eye, energy_channel) float64 768B [keV] d...
    gse_latitude           (time) float64 71kB [deg] dask.array<getitem, shap...
    gse_longitude          (time) float64 71kB [deg] dask.array<getitem, shap...
    gse_moon_position      (time, rank_1) float64 214kB [km] dask.array<getit...
    ...                     ...
    spin_number            (time) float64 71kB [] dask.array<getitem, shape=(...
    spin_sector_number     (time) int16 18kB [] dask.array<getitem, shape=(89...
    sun_contamination      (sensor, eye, spin_sector) float64 3kB [] dask.arr...
    x_geocentric_position  (time, rank_1) float64 214kB [] dask.array<getitem...
    y_geocentric_position  (time, rank_1) float64 214kB [] dask.array<getitem...
    z_geocentric_position  (time, rank_1) float64 214kB [] dask.array<getitem...
Attributes: (12/37)
    Acknowledgment:              Baker, D. 2015. MMS FEEPS Level 1B Data, V1....
    Data_Mode:                   Survey
    Data_type:                   Survey_Level 2
    Descriptor:                  FEEPS
    Developer:                   Dave Judd, James Craft, Edward Hartnett
    Discipline:                  Space Physics>Magnetospheric Science
    ...                          ...
    size:                        53.175520999999996 MB
    species:                     ion
    start_time:                  2015-10-16T00:00:00.619872000
    stop_time:                   2015-10-16T23:58:27.811855872
    timestamp:                   2015_10_16_00_00_00
    version:                     7.1.2

xarray.Dataset

• Dimensions:
  • time: 8927
  • sensor: 2
  • eye: 3
  • energy_channel: 16
  • rank_1: 3
  • spin_sector: 64
• Coordinates: (8)
  • time
    (time)
    datetime64[ns]
    2015-10-16T08:00:02.314144 ... 2...

    BIN_LOCATION :

    0.875

    CATDESC :

    UTC timestamp at sector center

    FILLVAL :

    ['NaT']

    SCALETYP :

    linear

    TIME_ATTRS :

    ['FILLVAL', 'VALIDMIN', 'VALIDMAX']

    VALIDMAX :

    ['2000-01-01T11:58:55.816000127']

    VALIDMIN :

    ['2000-01-01T11:58:55.816000000']

    standard_name :

    Time

    array(['2015-10-16T08:00:02.314144000', '2015-10-16T08:00:04.733344000',
           '2015-10-16T08:00:07.152704000', ..., '2015-10-16T13:59:53.045152000',
           '2015-10-16T13:59:55.464560128', '2015-10-16T13:59:57.883968000'],
          shape=(8927,), dtype='datetime64[ns]')

  • sensor
    (sensor)
    <U6
    'bottom' 'top'

    array(['bottom', 'top'], dtype='<U6')

  • eye
    (eye)
    int64
    6 7 8

    array([6, 7, 8])

  • energy_channel
    (energy_channel)
    int64
    0 1 2 3 4 5 6 ... 10 11 12 13 14 15

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15])

  • rank_1
    (rank_1)
    <U1
    'x' 'y' 'z'

    array(['x', 'y', 'z'], dtype='<U1')

  • spin_sector
    (spin_sector)
    int64
    0 1 2 3 4 5 6 ... 58 59 60 61 62 63

    array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17,
           18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
           36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53,
           54, 55, 56, 57, 58, 59, 60, 61, 62, 63])

  • energy
    (sensor, eye, energy_channel)
    float64
    [keV] dask.array<open_dataset-en...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 768 B 768 B Shape (2, 3, 16) (2, 3, 16) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	kiloelectron_volt

  • pitch_angle
    (time, sensor, eye)
    float32
    [deg] dask.array<getitem, shape=...

    CATDESC :

    The angle formed by the normal vector of the sensor plane and the magnetic field (BField)

    DEPEND_1 :

    pitch_angle_indices

    FILLVAL :

    -9.999999848243207e+30

    SCALETYP :

    linear

    VALIDMAX :

    180.0

    VALIDMIN :

    -180.0

    long_name :

    Pitch Angle

    standard_name :

    srvy_l2_ion_pitch_angle

    Magnitude	Array Chunk Bytes 209.23 kiB 209.23 kiB Shape (8927, 2, 3) (8927, 2, 3) Dask graph 1 chunks in 5 graph layers Data type float32 numpy.ndarray
    Units	degree

• Data variables: (23)
  • count_rate
    (time, sensor, eye, energy_channel)
    float64
    [count/s] dask.array<getitem, sh...

    FILLVAL :

    -1e+31

    SCALEMAX :

    1000.0

    SCALEMIN :

    0.0

    SCALETYP :

    log

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 6.54 MiB 0.95 MiB Shape (8927, 2, 3, 16) (1302, 2, 3, 16) Dask graph 8 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	count/second

  • energy_lower_bound
    (sensor, eye, energy_channel)
    float64
    [keV] dask.array<open_dataset-en...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 768 B 768 B Shape (2, 3, 16) (2, 3, 16) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	kiloelectron_volt

  • energy_upper_bound
    (sensor, eye, energy_channel)
    float64
    [keV] dask.array<open_dataset-en...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 768 B 768 B Shape (2, 3, 16) (2, 3, 16) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	kiloelectron_volt

  • gse_latitude
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Latitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Latitude

    original_name :

    lat_gse

    standard_name :

    srvy_l2_ion_lat_gse

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • gse_longitude
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Longitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Longitude

    original_name :

    lon_gse

    standard_name :

    srvy_l2_ion_lon_gse

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • gse_moon_position
    (time, rank_1)
    float64
    [km] dask.array<getitem, shape=(...

    CATDESC :

    The position of the moon in GSE coordinates

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Moon Position

    original_name :

    moon_position_gse

    standard_name :

    srvy_l2_ion_moon_position_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	kilometer

  • gse_position
    (time, rank_1)
    float64
    [km] dask.array<getitem, shape=(...

    CATDESC :

    Spacecraft position in Earth-centered geocentric solar ecliptic coordinates

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Spacecraft Position (GSE)

    original_name :

    scpos_ec_gse

    standard_name :

    srvy_l2_ion_scpos_ec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	kilometer

  • gsm_latitude
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Latitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Latitude

    original_name :

    lat_gsm

    standard_name :

    srvy_l2_ion_lat_gsm

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • gsm_longitude
    (time)
    float64
    [deg] dask.array<getitem, shape=...

    CATDESC :

    Longitude

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Longitude

    original_name :

    lon_gsm

    standard_name :

    srvy_l2_ion_lon_gsm

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	degree

  • integration_sectors
    (time)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    Indicates one of the regions of the spacecraft spin cycle

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    integration sectors

    standard_name :

    srvy_l2_ion_integration_sectors

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • intensity
    (time, sensor, eye, energy_channel)
    float64
    [1/cm²/keV/s/sr] dask.array<geti...

    FILLVAL :

    -1e+31

    SCALEMAX :

    1000.0

    SCALEMIN :

    0.0

    SCALETYP :

    log

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 6.54 MiB 0.95 MiB Shape (8927, 2, 3, 16) (1302, 2, 3, 16) Dask graph 8 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	1/(centimeter2 kiloelectron_volt second steradian)

  • l_shell
    (time)
    float64
    [Re] dask.array<getitem, shape=(...

    CATDESC :

    Dipole L shell in Earth radii determined using GSM latitude

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    dipole L shell

    standard_name :

    srvy_l2_ion_l_shell

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	ronnaelementary_charge

  • percent_error
    (time, sensor, eye, energy_channel)
    float64
    [%] dask.array<getitem, shape=(8...

    FILLVAL :

    -1e+31

    SCALEMAX :

    1000.0

    SCALEMIN :

    0.0

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 6.54 MiB 0.95 MiB Shape (8927, 2, 3, 16) (1302, 2, 3, 16) Dask graph 8 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	percent

  • quality_indicator
    (time, sensor, eye)
    float64
    [] dask.array<getitem, shape=(89...

    FILLVAL :

    -2147483648

    SCALETYP :

    linear

    VALIDMAX :

    3

    VALIDMIN :

    0

    Magnitude	Array Chunk Bytes 418.45 kiB 418.45 kiB Shape (8927, 2, 3) (8927, 2, 3) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • radial_distance
    (time)
    float64
    [Re] dask.array<getitem, shape=(...

    CATDESC :

    Radial distance in Earth radii

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    radial distance

    original_name :

    radius

    standard_name :

    srvy_l2_ion_radius

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	ronnaelementary_charge

  • sector_mask
    (sensor, eye, spin_sector)
    float64
    [] dask.array<open_dataset-secto...

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    Magnitude	Array Chunk Bytes 3.00 kiB 3.00 kiB Shape (2, 3, 64) (2, 3, 64) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • spin_duration
    (time)
    float64
    [s] dask.array<getitem, shape=(8...

    CATDESC :

    The time span during which the spacecraft spins 1 revolution

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    SPIN_DURATION

    standard_name :

    srvy_l2_ion_spin_duration

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	second

  • spin_number
    (time)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    The number of spacecraft rotations

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Spacecraft rotations

    original_name :

    spin

    standard_name :

    srvy_l2_ion_spin

    Magnitude	Array Chunk Bytes 69.74 kiB 69.74 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • spin_sector_number
    (time)
    int16
    [] dask.array<getitem, shape=(89...

    CATDESC :

    Spin sector in which the spacecraft was oriented during data acquisition

    FILLVAL :

    -32768

    SCALETYP :

    linear

    VALIDMAX :

    32767

    VALIDMIN :

    0

    long_name :

    spin sector

    original_name :

    spinsectnum

    standard_name :

    srvy_l2_ion_spinsectnum

    Magnitude	Array Chunk Bytes 17.44 kiB 17.44 kiB Shape (8927,) (8927,) Dask graph 1 chunks in 5 graph layers Data type int16 numpy.ndarray
    Units	dimensionless

  • sun_contamination
    (sensor, eye, spin_sector)
    float64
    [] dask.array<open_dataset-sun_c...

    FILLVAL :

    -2147483648

    SCALETYP :

    linear

    VALIDMAX :

    2147483647

    VALIDMIN :

    -2147483648

    Magnitude	Array Chunk Bytes 3.00 kiB 3.00 kiB Shape (2, 3, 64) (2, 3, 64) Dask graph 1 chunks in 2 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • x_geocentric_position
    (time, rank_1)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    the spacecraft X axis unit vector in Earth-fixed geocentric coordinates.

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    X

    original_name :

    scx_vec_gse

    standard_name :

    srvy_l2_ion_scx_vec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • y_geocentric_position
    (time, rank_1)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    the spacecraft Y axis unit vector in Earth-fixed geocentric coordinates.t

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Y

    original_name :

    scy_vec_gse

    standard_name :

    srvy_l2_ion_scy_vec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

  • z_geocentric_position
    (time, rank_1)
    float64
    [] dask.array<getitem, shape=(89...

    CATDESC :

    the spacecraft Z axis unit vector in Earth-fixed geocentric coordinates.

    COORDINATE_SYSTEM :

    FILLVAL :

    -1e+31

    SCALETYP :

    linear

    VALIDMAX :

    1.7976931348623157e+308

    VALIDMIN :

    -9.223372036854776e+18

    long_name :

    Z

    original_name :

    scz_vec_gse

    standard_name :

    srvy_l2_ion_scz_vec_gse

    Magnitude	Array Chunk Bytes 209.23 kiB 69.74 kiB Shape (8927, 3) (8927, 1) Dask graph 3 chunks in 5 graph layers Data type float64 numpy.ndarray
    Units	dimensionless

• Attributes: (37)

  Acknowledgment :

  Baker, D. 2015. MMS FEEPS Level 1B Data, V1., Data Systems Group, LASP

  Data_Mode :

  Survey

  Data_type :

  Survey_Level 2

  Descriptor :

  FEEPS

  Developer :

  Dave Judd, James Craft, Edward Hartnett

  Discipline :

  Space Physics>Magnetospheric Science

  Generated_by :

  Data Systems Group at LASP

  Generation_date :

  20220913

  HTTP_LINK :

  http://www.lasp.colorado.edu

  Instrument_type :

  Particles (space)

  LINK_TEXT :

  FEEPS data

  LINK_TITLE :

  http://www.lasp.colorado.edu

  Logical_file_id :

  mms1_feeps_survey_level 2_20151016_v7.1.2

  Logical_source :

  mms1_feeps_srvy_l1B

  Logical_source_description :

  Level 2 Flys Eye Energetic Particle Sensor Survey Data

  MODS :

  Generated at LASP

  Mission_group :

  MMS

  PI_affiliation :

  LASP

  PI_name :

  STP

  Project :

  STP

  Source_name :

  mms1

  TEXT :

  http://www.lasp.colorado.edu

  cdf_file_name :

  mms1_feeps_srvy_l2_ion_20151016000000_v7.1.2.cdf

  data_level :

  l2

  data_rate :

  srvy

  data_type :

  ion

  full_path :

  data.zarr/quick-overview/local/mms1/feeps/ion_distribution/survey/level_2/zarr_2015_10_16_00_00_00

  instrument :

  feeps

  local_path :

  mms1/feeps/ion_distribution/survey/level_2/zarr_2015_10_16_00_00_00

  modified_date :

  2022-09-13T23:35:04

  probe :

  mms1

  size :

  53.175520999999996 MB

  species :

  ion

  start_time :

  2015-10-16T00:00:00.619872000

  stop_time :

  2015-10-16T23:58:27.811855872

  timestamp :

  2015_10_16_00_00_00

  version :

  7.1.2

More on this later…